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2025 Previews: New and Noteworthy Product Presentations
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2025 Previews: New and Noteworthy Product Presentations
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Segment:0 .
Good morning. It's great to see so many of you bright and early today. A couple of things I just want to talk about really quickly before we get started. First of all, I want to again say thank you to our amazing sponsors. The exhibit Hall is still open today, so please make sure that you get to spend some time in there and visit with our sponsors and exhibitors today.
It is also the last day to get your really amazing SSP merchandise. I don't know about you all, but I'm ready for some more comfortable clothes. We also have scarlet kitchen merchandise in there, and the SSP originals auction will end about midday today. So if you are bidding on something and there are some really amazing pieces made by our very own members, so please check all of that out.
Today there are a couple of items in the lost and found, including a laptop I believe, so please, if you've lost something, please stop by the registration desk and pick it up. We want to make sure that you get it before you depart today. One quick announcement. You're not the first time. You're the last time you're going to hear it. But there is a poll as part of the session that's going to be on Mentimeter.
So if you want to get prepared for that, that's a great opportunity to do so now. And before we spend the next hour learning about the latest emerging innovations in scholarly publishing, I want to take a few minutes to introduce a new industry award, the Rosenblum award for scholarly publishing and impact. This award celebrates past innovations that have transformed the scholarly publishing ecosystem, focusing on technologies, standards, or practices that have become indispensable to its operation.
Let's take a look. Hello, I'm Wayne Ci, Chief executive of the Association of learned and professional society publishers. I'm pleased to announce that five leading scholarly publishing organizations, Alps addresses, NISO, SSP, and STM have collaborated to develop and maintain the Rosenblum award in scholarly publishing.
Impact created in memory of Bruce Rosenblum, a trailblazer in scholarly publishing standards, the award reflects his legacy of innovation and collaboration Among his many achievements, Bruce was instrumental in creating the National Library of Medicine's DTD, around which the scholarly publishing community coalesced for content production and distribution as the journal article tag suite chats, and similar models for books and other types of publications.
And I'm Peter Berkery, executive director of the Association of University Presses, to be given annually, the Rosenblum award celebrates innovations that have transformed scholarly publishing, focusing on the technologies, standards or practices that have become indispensable. The Rosenblum award fosters appreciation for the innovations and infrastructure often taken for granted that power.
Scholarly communications. A key goal of the award is to promote ongoing development in ever wider use of these technologies, while inspiring continued progress in the field. The award isn't given to individuals or organizations, and it carries no monetary prize. It is intended to highlight important aspects of the ecosystem and to contribute to the preservation of the history of modern scholarly publishing.
I'm Todd Carpenter, the executive director of the National information standards organization Nisa. The mission of the Rosenblum award for scholarly publishing impact is to inform the community about each year's recipient and foster a conversation about its development and its significance to the scholarly publishing today, and its potential for broader and deeper impact in the future. This includes providing context such as the state of affairs before a given year's award recipient was developed and the reason it was needed.
The people and organizations in its development, and the story of its evolution from concept to trials and revision, to inspiration and innovation, to becoming a fundamental component of the ecosystem today. To this end, we will create a video discussing and documenting the evolution of each year's recipient, conduct an informational webinar about it, develop a web page documenting it, and participate in other discussions and events throughout the year.
Hello, I am Melanie dolecek, executive director of the Society for scholarly publishing, the recipient of the 2025 and first Rosenblum award for scholarly publishing. Impact is the Doi. For the past three decades, the digital object identifier has become an indispensable feature of the connected ecosystem for scholarly outputs of all types. Doi solve the common issue of broken links by ensuring research objects are always discoverable, even if web structures change or content moves by adding metadata such as titles, authors, abstracts, license information, funding information, data set links, and publication dates.
Doi improve the findability and impact of research through discovery services, repositories and databases. Building on its initial purpose facilitating persistent reference linking it led to the development of a host of related systems and standards for identification, documentation, registration and resolution that characterize the scholarly ecosystem of today. And finally, I'm Caroline Sutton, CEO of the International Association of scientific, technical and medical publishers, STM.
It has been a pleasure working with my counterparts at the other four organizations over the past year and a half to develop this award through collaboration and consensus. We believe that this is the first such initiative done jointly by our five organizations. We will continue to oversee the award as the governing committee, and we have each appointed two representatives from our organizations to the award planning and piloting committee, who have met regularly over the past year to make the award a reality and will continue to implement the award each year.
More information about the Rosenblum award for scholarly publishing impact is available at Rosenblum award.org. Great, and you can learn more about that award. And there's much more to come. As they mentioned in the video, perhaps some of the innovations that we learn about today will transform our industry like the Doi and be future Rosenblum award winners.
And with that, I would like to introduce the hosts of the preview session this morning, Elisa Williams and Jude Pereira. I'm ready to come down town and stay. With all my favorite clothes. OK Good morning, everyone. So are you ready for the preview sessions.
I didn't hear you. Did you not have your coffee yet. Come on, hype it up. So, yeah, today we are actually looking at some really amazing presentations. We have 9 coming up, and I will be the unhinged side of the hosting party here.
And with that, I'm going to give it off to the hinge side. Thank you. It's very funny that you are making a joke about coffee, Jude, because you were just saying you didn't have time to get coffee yourself yet. You have so much energy. Yeah, it's just my reserves at the moment. Hi, I'm Alicia Williams, I'm from Aries systems, and we're going to be your hosts, as all of these excellent companies have five minutes to impress you.
I wanted to actually start this out in a similar way to my favorite podcast, which would be starting out saying, what is a preview. However, I learned from Doctor Schiffman, I cannot give you the merriam-webster dictionary definition of preview. So instead, I'm just going to remind you that at the end, you will get to vote for best innovation. So as you're watching these, just think about how it may impact both your worlds, your little corner of the scholarly publishing community and the larger community.
And we will be sharing a QR code at the end. Yes so that's the interesting part there at your mercy today. So you will be voting for them. And how it's going to work is the screens are going to show some QR codes. So like Melanie said, keep your phones ready. I don't think none of us have a problem with that. Make sure that you have your Wi-Fi set up, and then you'll be able to vote for the amazing people today.
So with that, Elisha, are we ready to kick off this onslaught? We are. To first up representing copyright Clearance Center. Please welcome Jessica Thibodeau, who is senior director for information and content solutions. Welcome, Jessica.
Hello, everyone. Yes, my name is Jessica Thibodeau. And as mentioned, I'm a senior director of information and content solutions at copyright Clearance Center cc. CeCe is a pioneer in voluntary collective licensing, working to advance copyright, accelerate knowledge and power innovation. Today, I want to talk with you about trusted researcher identity and a new service that we are developing called Ringgold researchers.
But first, just a little bit of context as to why we went down this road. In today's scholarly publishing landscape and we've heard this all week at the conference, research integrity is imperative. Earlier this year, research, consulting and CC spoke with over 50 society publishers to identify what was top of mind, including the key pressing issues and identifying potential research integrity concerns.
Recruiting peer reviewers and recruiting and retaining editors all rose to the top. The community has agreed that better identification and validation of researchers and their research related connections will help improve confidence that a researcher is who they claim to be, helping to create more overall trust in the research output. From csec's work supporting our persistent identifier based solution, Ringgold organizations.
We understand that the combination of author information connected to accurate organization affiliation information can be a powerful signal towards establishing trusted identity. And we hear this echoed from key industry associations and groups such as STM, who recently published two reports on trusted identity and academic publishing, which I highly encourage everyone to check out. But we also know that there are challenges with the underlying data, especially with the availability and quality of the data requiring stakeholders, particularly publishers, to spend a significant amount of time manually gathering, cleansing and connecting information to validate identity.
Now this could be going out to Google Scholar. It could be pulling in information from the orchid profiles, looking at the institution website, pulling in information from systems, et cetera. And with the volume of cases of research integrity misconduct increasing, as noted here by sabeena in a uksg insights piece published last year. These manual reviews are not sustainable, and there's opportunity to leverage automation to produce data signals that help focus the subject matter experts on the research integrity and editorial teams on the more problematic areas.
So, to address these challenges, c-c-c has developed a beta version of our Ringgold researcher service, which helps scholarly publishers and service providers systematically and more accurately identify researchers, their affiliations, and other research related connections. Utilizing our robust data pipeline capabilities, the service disambiguates researchers who are referenced in the scholarly literature and assigns a globally unique persistent identifier to each researcher record.
It's initially available via API and enables users to search for researchers, obtain detailed researcher profiles for use in the publication process, and provides metrics to better understand the quality of the disambiguation process. And because we are leveraging knowledge graph technologies to do this, the service uncovers the relationships between the researchers and their collaboration networks, affiliations, publications, and their areas of expertise.
And finally, our approach provides the means to follow the evolution of the discovered identities. As more information becomes available and the existing information is validated. Ringgold researchers is intended to be used with other internal and external data sources and software systems to let publishers confidently uncover those connections and potential patterns that can aid in the evaluation and detection of research integrity issues.
But it can also be used to identify peer reviewers and guest editors in suitable disciplines to identify potential conflicts of interest. To more accurately inform funding eligibility under institutional agreements, and to help publishers better understand their researchers to inform certain decisions. We are currently working on a pilot phase, and we welcome discussions with the broader community on how Ringgold researchers can support researcher disambiguation and identification at scale.
Thank you. Thank you. Jessica OK, so a little fun fact, before we call up the next contestant, as I like to call them, is that they have five minutes, people. They have five minutes, and they know I'm going to cut them off. So let's give another round of applause for Jessica for keeping well within that time.
All right. So now we have from DataSeer. Please welcome Tim vines, founder and CEO. Could I get my slides. The clicker is right here. You need to press the clicker. There we go.
Brilliant Thanks very much for having me here. This is how scholarly publishing feels for you right now. You're not alone. There's a lot of pressures on us at the moment, so we hear a lot. Stop blocking progress. Get out of the way. Researchers are doing great work. They could be saving lives. And we're getting in the way with our slow, pesky peer review process.
That's really annoying. And we hate it. So just get out of the way and let us save all those children. At the same time. You have to eliminate research and publication fraud and do more checks and make everything clean, the clean, the whole research record up. Because at the moment it's getting very contaminated and becoming less useful.
And together, these two things, I mean, we've been hearing about these for a long time so that these aren't new pressures. However, the tide is now starting to move and you may have heard the rumor that many US federal agencies and philanthropic organizations are thinking of cutting support for APCs, much like the Gates Foundation has done. And this could become a severe cash crunch. So we have to do all three of these at the same time.
So do the first two with less money. So automate is really the only way out of this. In fact, this slide should really say automate or die. And so in particular, what I want to talk about is how I can help with fiddly, fiddly editorial office work. And this is a really big time suck. And money suck in the scholarly the scholarly process because you have to do it for every submission that arrives at the journal.
It's not just for every paper you're going to publish. Every submission has to go through the editorial office checklist. And these checks are getting more and more extensive, more intensive. Or they should be. Maybe you set up to do them more intensively, but your editorial office staff can't keep up. They don't have time.
They end up not doing them as well as they can. So what we need to do is expand and solidify these integrity checks and at the same time reduce the cost of doing these checks. And AI is going to help with this. LLMs have got to the point where they can now provide thoughtful feedback on policy compliance. Not yes, no. But hey, I think you should do this.
I looked at this document. It doesn't meet our standards. So these are the actions that are required. We can take this technology all the way into complex open data checks. This is one of the hardest parts of the editorial office checklist, and we have managed to automate most aspects of it. We can also actually expand this to a whole suite of editorial office checks.
Our LLM is very powerful. It's very good at spotting the issues that need to be dealt with. And we can also draft emails. And this allows editorial offices to be able to complete the checklist in just a few seconds. So for example, you see the green box there says action summary. It's all good.
This one can just carry on the data on an acceptable repository. No further action is required. And this is what our user interface will look like. We can also chat to update the rules on the fly, and this is a minor feature, but is also incredibly important because one of the problems that previous AI solutions have had is that as you're working away in the editorial office, you arrive at situations that you could not have anticipated when you were trying to describe the rules that the AI should follow.
And typically you would have to go back to the company that made the AI and say, oh, you need to change this, you need to retrain it. We don't need to do that anymore. We can just talk to the LLM. So here is an example, just for a moment of a manuscript that does need action. They haven't put the data in the right place. Here's a different one where the data are on a repository, but they haven't provided a URL.
But if you look quickly at the data accessibility statement, you can see that they've actually given all the information necessary. And so now we've opened up this chat with the LLM to say, hey, could you change the rules because we don't actually need a URL if they're on a data sets are on a repository that requires an accession number, and then you can use that to update the rules on the fly. So you can converse with the LLM and allow the editorial office to deal with all these problems that happen, all these exceptions that they want to account for.
And it becomes a local, well rounded member of the Office team because it knows all about your little individual idiosyncrasies at the journal. And I'm going to stop there. Thank you very much. Thanks, Tim. Now, from impulses, please welcome Barry beehler, Vice President, publishing, education and media.
So one of the themes I have heard over the last few days is that publishers are AI curious. And today there are really two ways to handle AI in your organization. One of them is to develop your own AI, which you have developers in the back room building and needing to maintain, or you get exposure to AI through the various platforms that you've licensed.
We feel there's a white space in the industry which is licensing accelerators or adapters for your specific discrete tasks in your workflow. For those of you who don't Monk, which stands for monetizing knowledge, has been on the market since 2009 under the brand name of IPC scholar. Today, it serves over 100 global publishers, 20,000 institutions and 40 million daily users.
The monk platform is built on AWS on microservices, so it's highly modular and highly configurable. There's three different major sections, which is the Publishing module across the top. Across the bottom is the delivery module, and then in the center is the AI accelerators or AI accelerators, which are part of the platform but can be licensed separately as a library. All of you have your unique workflow and you all also have opportunities to embed AI across your workflow to minimize those tasks.
Those manual tasks, as many of us have talked about, this doesn't remove human in the loop, but it does help the human do their job every single day. Our accelerators and agents fall into four categories to create, content, review and edit, transform and publish and distribute. Today I'm going to talk about four of those. One of them is author, AI assistant, Alt text generation, format transformation, and language translations.
For the AI author, you can build derivative products off of the products that you have. Many of our educational clients use this to create course outlines, to create derivative material for the instructors and things of that nature. We set up guidelines based on your editorial rules that you can easily. Instead of having to write prompts out, just click on specific activities such as content type, language complexity, student grade, things of that nature, which will then create the content behind the scenes.
This can be on one book. It can be on 100 books. We don't care. You can load it up into the system for language translation, and we all know you can throw content into Google Translate, but we actually have put in there from going from source language to target language to target country, because there's nuances associated with that.
Again I think Google Translate can do a good job, which would be essentially what was translated here in the NMT side. But we actually add in a reflection based translation agent, which is always self-evaluating itself to improve. And we found that this significantly improves the language translation. All of us here in the room are dealing with European Accessibility Act, as well as the ADA.
Title Ii compliance. We have an Alt text generator. You can load up individual images, or you can point your digital asset management system to the hub to create the Alt text. What is a little different with ours is that you load up the content. In other words, like a chapter or a journal article. You load up the images, and it creates the Alt text in context.
So it reads the article and figures out the appropriate Alt text to create both the short and the long term. You also create your guidelines or your prompts and run it through the system just as you see here. You can then take and edit your short and long term excuse me, long Alt text format transformation is nothing sexy. It's all behind the scenes. And truth be told, there's a little bit of scripting and a little bit of AI here, but we've been able to automate the PDF to EPUB transformation to be 98% accurate.
Just to give you an idea, all of this is going to require you to have governance guardrails and human in the loop. The governance is what your organizations want to have in place that we adapt the AI hub to. The guardrails are your LLMs or small language models that we can create for you on your corpus of content, and human in the loop is obviously your editorial and production team, but with this, you have the opportunity then to embed the AI agents into your workflow to complete discrete tasks.
Again, all while not removing human in the loop. We believe human in the loop is still a proper tactic to use. Again, we believe there is a white space in the industry. You can have your developers develop the AI. They're going to have to maintain it. They're going to have to monitor it for biased and drift and things of that nature. Our AI hub does that. You can also leverage the AI in the platforms that you've licensed, and that's fine as well, but it's contained to that platform in between.
We believe there is, as I said, a white space to be able to license specific AI agents so that you can minimize and automate as much as possible in your workflow. Thank you very much. Thank you very much, Barry. So before we go on to the next presentation, I have a little bit of a story.
So the next presenter comes to me 15 minutes before this starts and asks me, can you be my prop. And I said, yes, of course. So I don't know what he's going to ask me to do. I have no idea. Maybe I'm overhyping this, but please give it up for Ravi Venkataramani from Priya docs.
Well, thank you, Jude, for that great introduction. It's great to see you all today. I'm Ravi. Oh, there it is. CEO of paradox. I think all of you have had a great conference. So today I asked you to help me. So just give me a few seconds before I get into that aspect. So I want to talk to you today about how we can ensure higher quality submissions, faster editorial decisions.
I'm pretty sure for everybody. Research integrity. I think a lot of my fellow presenters are talking about the same topic is how do we tackle this problem. And as we look at the problem itself, obviously rising submission volume and also the research integrity pressures have led to manual desk reviews now being needed to be done on every article, which means there's bottlenecks being created.
We have low quality submissions slowing things down. I remember a talk from ITP at STM last year where they said they had 500,000 submissions. While they were happy about that, they were not happy about the fact that 80% of them had to be rejected because of poor quality. And finally, I think the people who are introducing these issues are becoming smarter. They have various tools, and what it means is it's becoming harder to detect and it's a difficult problem.
Meanwhile, I mean, I think this is a triangle everybody understands, especially in our industry. We have the constraint of we have a lot of volume coming at us, but we still need to do this at speed. Authors expect that research to be published as quickly as possible, and meanwhile, we have the onus of making sure that the quality is where it needs to be and that we can make sure integrity is maintained.
This is a really hard problem, and when we look at this, we think, hey, there's so much coming at me and how do I solve it at this point. I want to take a little bit of latitude and use my props. I'm going to include Alicia as well and help us frame the picture. I think this last three days we've heard a lot of different information. There's a lot coming at us and we feel, I think this is a good time for us to think about.
How can we all just settle down and take in the moment. So I'm going to ask all of you. I read a book recently. It's called How to train your mind. It's by a great author called Chris Bailey. He's the author of the productivity project, and it's about how to meditate. And I think this is a good time for us. I'm going to ask you to indulge me and just take a minute to go over a quick meditation exercise.
So what I'm going to do is I'm going to ask all of you to just take your thumb and forefinger if you can just hold this together. Yeah and then just put it on your lap, sit comfortably in your seat. Just close your eyes. I'm going to start my timer here so that we don't just stay here forever. I know Jude is going to kick me out any second now, but.
Yeah so just close your eyes and then just focus on your breathing, your breath coming in your nose and then coming out to naturally. Nothing special. Just imagine your breath going in, but just focusing on the air, going in through your nose and then coming out. You will have thoughts coming through that disrupt you and take your attention away.
Just let that happen, but try and come back to you. The normal process of breathing. So now that you're in that state where you've now got all your thoughts under control, just imagine your wonderful backyard. You have a great green backyard. You have great trees in the corner. You have a beautiful lawn, green grass.
You have a vegetable patch on the side, all those growing healthy. And then there's flowers all over. This is a sight to see. And you want to go sit out on your deck and watch this yard. It's just amazing. I'm going to interrupt that now. I want all of you to open your eyes now.
Imagine that this yard now starts to get weeds. We have weeds in the grass. We have parasitic plants coming near the trees. We have all these things popping up. This is very similar to what we're facing in scholarly publishing today. The vast majority of our yard is still in good shape. It's still something that is a sight to behold.
But we have these bad actors sprouting up everywhere. Does this mean that you take weed, be gone, and then go destroy your yard. I don't think so. I think what you do is you take a very sorry Excuse me. Let me stop that. We take a very different approach. We actually go after the weeds. But don't kill the great plants and the great grass and the great trees that actually make this happen.
So what if we said, hey, I'm going to present authors with solutions, which allows them to run a check on their content and assume that they're good actors. Assume it's a good plant. Don't call it a weed till it is a weed. Give them an opportunity to address their issues in their manuscript. Help them address any integrity issues like citing retracted references or self citations, things that they may be doing accidentally.
If we call everything a bad actor and everything a weed, then you won't have this great landscape or great industry that we have. Sorry, Ravi, I have to cut you off. It's five minutes. Oh I'm sorry. So on that note, that's what we're trying to build. I want you to walk away with that thought is, how can we lead with trust.
Come and see us in our booth. And I look forward to doing this with you together. Thank you. So, Alicia, I have to say, right, what we talked about just before. That's my timer. Oh my God. OK timer is going off everywhere.
What were you imagining when Ravi asked you to do something. Because I thought I would at least have to do some self-defense or something along the lines of that. I had no idea what to expect. It was calming, though, wasn't it. Which is a letdown. I don't want calm on this stage. Honestly, I was thinking about whether my husband has mowed the lawn while I've been gone.
Oh, yeah. My God. Perks of living in a city I don't. I have dead plants everywhere, so. Well, thank you again, Ravi. Especially for the meditation. Now it's time for kudos. Please welcome Charlie rappel, co-founder. Thank you.
Thank you. And thank you, Ravi, because I was sort of a bit nervous. And then I feel very zen. Very zen. So keep the zen going, people. And I'm going to talk a little bit. Not about I. Sure you're all very disappointed not to have another AI talk. I'm going to talk about science communication, which has been the other big theme of this conference since shark guy.
And so I'm going to talk about the work that we've been doing at kudos. You may kudos as a platform that captures plain language summaries and tries to broaden the audiences for those both within and beyond academia. And having become quite successful at that, we're now really focused on trying to capture information about the people who come and visit our site and drawn in by this plain language content.
But they're not registered users, they're not from institutions that we all know and love. So how do we find out more about them. And that's the unique work that we've been doing this year. And I feel very in the middle of the set today. And I should have thought of this when I named the company. Because you'll remember the first talks you hear, you'll remember the last talks you hear. So please try and remember me as well.
And for next year, I'll call myself zoodles. That'll do. And so, without further ado. So I've never even seen the Masked Singer, but I thought it'd be a perfect fit for what I was trying to talk about, because we're trying to learn more about people and take the mask off them effectively. But as with most of your sites too, I would think, but certainly in the wider ecosystem of the web, 90% of visitors to websites are anonymous.
So it's the largest proportion of visitors that we have to our sites, and we don't really know who they are. In our case, they spend a lot of time on the site, so they are looking at multiple pages. And therefore it's kind of increasingly important that we learn about who these people are and what they're doing with this content. And for us, it's been particularly challenging, or it's particularly acute as an issue because we have done so much work to build visibility and engagement with the content.
So I last spoke in one of these preview sessions three years ago, and I talked about search engine marketing and all the work I was doing to follow the news cycle, identify the specific questions that people type into Google when they want to know about a topic that we all might have content on, and then I build pillar pages around that. So why is the sky blue. And I find the summaries of the research that we have that address that question.
And I'm saying to Google, when someone asks that question here is some really authoritative evidence based content. But it's been summarized in plain language. So it's accessible. It's an answer to that question. So that's the kind of work that I continue to do. And I've been doing that so successfully that we now have these millions and millions of users that we want to know more about.
So we've been very successful at teaching Google that we're a source of authoritative answers to questions. We've also been doing a lot of work beyond just Google to actively target and reach audiences beyond academia. So all of those that David Schiffman was talking about in the opening keynote. We've been really proactively reaching educators and health professionals and policy makers and people working in industry and so on and so forth.
And great. Fantastic been really successful at reaching those audiences. We've had massive growth, growth in users and usage in human visitors to the site. I should also emphasize, but although it's free to register with our platform, obviously most of those visitors are not going to do that, which is something, again, I think is probably familiar to all of us.
So how are we going to find out who these people are and what they want with this content. What are you going to do with the information that you've found. So we've introduced this new dropdown. These appear on our story pages and on our showcases. And we just ask them to tell us a little bit about themselves. And one of the things that we found really effective was putting a very humanizing sentence.
So I say please help authors understand who is reading their content. And just that one sentence doubled the number of people who were bothering to give us this information in this drop down. We asked for it once. We store that for 90 days, we've had over half a million people give us that information already, and it allows us to report back to you the kinds of people that are looking at your content.
It's similar to our registered user base, but we now have much more granularity about that other section and the different types of users in there. And that really helps us to help you achieve your targets more effectively, because we can tell you more about who is coming to this content, and therefore you can target them with calls to action, whether it's increasing your reviewer pool, whether it's getting submissions, whether it's just trying to accelerate growth in particular regions, et cetera, the Exadata is so valuable for doing that.
So please, if you'd like to learn more about that, come and see me at 408 in the exhibition. Oh, wow, that was just on time. Goodness extra round of applause for Charlie. She really did a good job. Come on. That was exactly five minutes. I'm not even kidding. So, yeah.
So for our next lesson. What's it. I was just going to say contestant again. Yeah OK. For our next contestant, he doesn't need an intro, but because we know him really well, whether we like it or not. So, I love you, Tim. Please welcome Tim from Leblanc's.
OK. Hi, everyone. I don't actually see the notes. Oh, OK. Can we pause the timer. Yeah can we reset the timer. And I will just work from my paper up here then. Yes, we'll reset the timer.
Technical issues. It won't be a good show without some technical issues because you live or die by the time of year. OK, cool. We're good. Thank you. Hey, everyone. So I'm Tim. Tim Lloyd.
If you don't know me already will by the end of this presentation, as we're going to do things a little differently. So today I'm not going to give you any solutions. I'm just going to ask you a series of questions and see where we sit with them. So first of all, I'm going to take you to a place where not all of us are super comfortable. Take a look at this picture.
Have you ever been on a boat at night. Maybe it's a kayak and you haven't yet reached the bioluminescence you're seeking. But you're traveling in a rocking ferry, returning from a night out, or sat on a dock wanting to dangle your feet in the water. Not quite sure if it's safe to dip your feet in. Have you. So what happens if the water is also stormy and it's dark and you can't see, and you can't see clearly what's underneath.
Maybe it's this. Or this. Now imagine this is your usage data. A churned up mixture of open and controlled access. If you can't see clearly, much of this is unfathomable. On one side, you've got waves of anonymous and unattributed open access usage crashing over your platforms. On the other side, you've got users trying to get in. You're having to turn away without knowing who they are.
And then there are the predators, the AI that floods the zone now and more and more often. And what do those massive spikes in usage do. They drown your systems and they poison your data. Only last month, I was talking to a publisher who was saying that they were seeing enormous increases in usage of their data. And they said to me that they knew that they should be happy about this.
But at the same time, they confided in me that they had a pit in their stomach, that most of it probably wasn't real. Is that you. Do you have that pit in your stomach. Do you have that sneaky feeling that there's something under the water you should be concerned about. That's probably not real.
So is this you fishing for impact in a churning sea of usage data. Is this your nonprofit publishing program. Is this your commercial publishing business. Is this your society publications team or your institutional repository. Do you worry about funder support drying up for your open access publishing programs. Our institutional relationships are at risk because your usage reports fail to capture all the value you offer, such as open access, usage or usage from other platforms.
Our denials are lost sales opportunity because you don't know who was turned away. Now take a deep breath. Maybe some more yoga. Isn't this a better place to be. Don't you feel your shoulders immediately relax and your heart rate goes down. Mine's not yet.
And you're ready for your second cup of coffee this morning. So today I'm not going to give you all the answers, but I'm going to encourage you to come and talk to me because if there's one company that can help you get here, help your shoulders relax with or without coffee, it's lib links. I can help you. We me lib links can show you who's engaging with your content, both open and controlled.
We me lib links can give you the full picture and that allows you to demonstrate the impact of your publications to your customers, to your community stakeholders, to authors, to your editors, to funders. Can you imagine opening up a world of custom reports where the impact of your publications is crystal clear. You can see exactly which organizations are engaging with your open content.
Which organizations are being denied access to your controlled content. Moreover, you can see which communities are engaging with your content, where in the world and on which topics. Can you imagine being able to show a funder that their open access malaria research was being used by health institutes in West Africa to help solve this deadly disease.
Or showing a funder that government agencies in Ukraine or Poland are engaging with their latest monograph on international relations. Can you imagine that. This is what we do. Ask me. Ask me about our touchstone product and breathe easy. I'll be here afterwards. Or contact us via live links.
And by the way, if there's a shark expert in the room, I do know that sharks don't eat toxic waste in Realty. Thank you very much, everyone. So, Alicia, before we go on asked me, how are you running without coffee earlier. It was live links. I never would have known, I know. Thank you.
Tim we loved your presentation. Up next from orchid. Please welcome Chris Shillam, executive director. Good morning, everybody. I seem to have lots of sharp pitches here. Am I going the wrong way. Keep going.
There we go. Well, morning. I'm afraid this is a metaphor. Free talk. No weed strewn gardens. No much maligned and misunderstood sharks. I'm instead, I'm going to talk to you about orchids. Verified email domains. This is a new feature that's live.
We introduced last year. And the context of this is the scholarly integrity crisis. You've been hearing a lot about that. Lots of good insightful talks in this conference. And what we've learned over the past few years, talking to folks who are trying to solve this problem, who are building research integrity tools, is that PIDs are such as orchid, a key to helping understand the relationships between the key entities of research and detect that misconduct.
At orchid, we're not trying to build the research integrity tools. We're trying to build the data and the connections that enable folks who are doing great innovation in this area to build those tools, and peds can help with things like understanding. Track records of researchers, their affiliations, and identifying networks of bad actors. So many of you may know that ORCID data contains data not just added by individual researchers themselves, but by trusted organizations.
We preserve the provenance of every item on an orchid record. In the past few years, we've been calling these trust markers. You can see in the little screenshots there that the items with the blue icons have been added by the researchers themselves. The ones with the green check marks have been added by typically our member organizations. And our contention and we've been talking a lot about this year, is that more trust markers equals more trustworthiness.
And referencing the STM report on trusted identity that you heard about earlier from Jessica by working with orchid, platforms can gain confidence in user identities, and contribute to a positive feedback loop by adding verified claims back to researchers profiles. So we're a key source of the data that can be used to validate researcher identity and bona fides.
One of the things that we've done most recently, and this is what I want to talk to you about today, is we've added professional email domains as a new kind of trust marker. So traditionally in orchid, folks have tended to keep their email addresses private for obvious reasons. They don't want to be spammed. We've now enabled users to make their email domains public, even if they want to keep their email domains.
The full email address is private, and obviously email domains, particularly what we call professional email domains, are a key source of trust information, a key source about affiliations. So we've taken all of the email addresses in an orchid. We've matched them against the raw data, and we have tagged email domains that are associated with scholarly organizations.
And we are now prompting the users to make the email domain public, even if they want to keep their email addresses private, and added that as a new trust marker to orchid records, we've taken a much more proactive stance than we have done traditionally in both encouraging new users to add professional email address as well as a personal one, and also in prompting users to appropriately set their privacy settings.
And this information, as I've said, is really quite a low barrier way of researchers signaling their affiliations. Also, key doesn't require their institutions to do any work. So this is something we do. The users can essentially self-service this. So as I say, we launched this in Q4 of last year. It's been very successful. The orange line at the bottom of this graph.
We now have 20% of active orchid records have a verified public professional email address. The top line, which is now over 50% That's driving up the number of active orchid records that have at least one of the trust markers. So we're very pleased with this. We expect this to continue growing over the next six months to a year. I'm going to be around for the rest of the conference.
So if you have questions, find me and I'd be happy to answer them. Thanks very much. OK, so we have two more to go. So next we have from typify systems. Please welcome Caleb closet.
Why do we do what we do. I'm guessing you didn't become an editor primarily to wrestle with crazy syntax or chasing down formatting inconsistencies. The work that we really care about is helping ideas find their audience with clarity and impact. Which brings me to the core philosophy of why I'm here today.
This philosophy that tools should free us to focus on meaning and not trap us in TDM, that tools should do more, has guided typify for more than two decades now, drawing on 18 years of partnership with Nasa and with their blessing. We're launching Orion, a drop in replacement built on modern XSLT, preserving your track changes and the workflows you rely on natively handling tables and fully extensible to expand what's possible.
Like the constellation that's named after Orion is recognizable cognizable and familiar. Our goal is that you can be working in textiles on a Friday and continue on Monday working on the same document in Orion. So this is a live view of the Orion interface. Looks pretty familiar. We're a launch into the. Sorry got to start it. We're going to launch into the document info dialog, which looks very familiar from a textiles perspective capturing all your metadata.
Moving into cleanup to do all the mechanical corrections to your document and your Paragraph Styles. We don't want to use word styles, which is this huge alphabetized list. Instead, we want to use the tabbed interface that extyles pioneered, and we can import this directly into Orion so you don't have to do any rework all your keyboard shortcuts, all of that comes through your auto redact rules. Also imported into Orion so you can continue using those directly.
This should be triggering. Just a second. Here we go. And with full track changes, you don't have to do diff compares to compare and figure out what actually happened in an autodidact session, we can see that directly bibliographic referencing is managed through an edifice integration. And so Crossref, PubMed, predatory journal, database, Retraction Watch, all of that is handled for you automatically fully tagged, structured in the way you want your reference to be structured.
And then all important, we want to export that act to XML. All this leverages the type of fie workflow server. And so we can extend this and augment these transforms to deliver both your native jats bits, STS, XML, but also other derivative outputs, extracts and pieces. Here are the files open up inside word for convenience, but the actual XML is also downloaded to a local directory. I'm pulling this off of our server right now and showing you in oxygen so you can see the fully formed.
Structured XML. And that's really why I say do more. And I gave you a lot of time. Back you did. My goodness. Look at that confidence one 1:51 seconds to be exact. I'm impressed. Me too.
Thank you so much, Caleb. And last but not least, from virtu. Sales, please welcome Rodney elder, executive vice president, North America. Thanks for having me. Does that mean I got six minutes and OK. All right. So the person who prepared this presentation, I think they thought it was 50 minutes, not five minutes.
So I'm going to have to Zoom through these slides, which sales has been around for 25 years. What we do is we provide software for publishers and a summary is down the bottom. Imagine a place where you can put all of your product data, no matter whether it's digital, whether it's PACs, whether it's books, whether it's articles, content, it doesn't matter. It goes in one place.
Then what we have is production, that you can then track specifications, costs all in a central place, task management. But what we're also combining is all of the rights and licensing. So as you are going and creating new products, you need to manage your rights and licensing. What can you do with that article. What can you not do with that article. Someone a year later wants to do a permission sale on it.
Can they do that. Yes no. Everything lives in one single location. We then have the Royalty calculations. So as you are producing products, you're then tracking what you can and can't do, how much you need to pay people when you do sell it, and whether it's a subscription models or whether it's straight sales.
Biblio then calculates and then tells you how much you need to pay all of the contributors along that. We're also doing digital asset storage and control of that and then tracking sales. So that's a summary of what we do. And here's a list of some of our lovely clients, some of them who are here with us today. So what we're doing is addressing all the things that people have mentioned here, which is about increasing volumes and complexities.
So how are we doing that. Well, what we're doing is bringing together all of your assets and metadata in what we call Biblio flow. So Biblio flow will combine anything that you need about any product you have or piece of content in a single location, whether it's a contract information, whether it's the assets, whether it's a manuscript, whether it's the jacket image, whether it's an e-book, anything is in one place, and then it transforms that all the way down to all the various formats that you might have available.
So here's an example. What we're doing is allowing publishers to combine all of and centralize all of their publishing in a single platform, no matter what the type of content is. MIT Press just went live. They rolled in multiple systems into Biblio, so their books and journals and articles are all in a single location. They've got automated Doi identifiers that are allocated to things.
That means that they don't have to go to 10 different systems to find information. They just log into Biblio and they can access everything that they need. And then share that information out. What we're doing as well is combining AI into the actual tool, and we're doing this for things like people have said, we want people don't want to be spending their time doing meaningless tasks.
We are automating things like keyword generation. So as you're going through or assets, being able to do Alt text for assets and images. So as you're in the user interface and you're doing. I need to create a description for this book. It will go and read the abstract and then generate a description for you, which you can then actually have it retranslated into different formats or languages. And that's all available on the tool.
One of our clients has just done a big backlist keyword regeneration, so all of their titles that were in there, we generated new keywords for them that then generated an ONNX feed that sent out that feed of all their data with the keywords. They're then able to analyze the sales of. What's the value of doing that throughout the software. We're also improving workflows to automate tasks. So when assets arrive back in the system to say, hey, we've just received the print ready file, that can then be automatically sent to the printer.
It can then notify people so that you don't have to email message people. Where are we at in the workflow. The system will automatically tell you and keep you going. Oxford has done this internationally with their production and being able to manage that across their various ones University of Pennsylvania Press being able to manage all of their print on demand, their e-book files with vendors as soon as they hit the system.
We can then send it out to the right vendors and share them appropriately. What we're also doing is at the end of this, once you've made all the changes you need, we're actually doing actionable analytics. So in justice sales, be able to say, do you know what is this work that we're doing, actually doing anything for us. How much do we need to pay people.
When do we need to pay them. So we're actually bringing that data back in and then sharing it. And then we're also doing things like forecasting when you should be doing reprints udr. Where is that paper from. What's the certification on that. So all of that is going into our production process and helping you go through it.
Here's another client. And then I've just yes, there we go. Two seconds and we're done. So who cares. Thank you so much, Rodney. So that's all our presenters. So please give a huge round of applause for everyone that came up today.
I'm sorry, but that was my definition of huge. Come on, pick up the energy, people. Come on. Woo OK, so now we're getting to the fun part where you have a part in making sure that one of them wins. So we're going to the voting part. There will be QR codes shown on each side of these. I mean each of these screens.
And please scan that QR code. It will come up in a second. I think they just want to show us off if you could get those up now. Yes perfect. So if you do scan those you will go to the link in which you can vote. So we will be back shortly to announce the winner of Best innovation.
Stay tuned. You won't want to miss it. Yeah, yeah. Talk to your neighbor. Let out that cough you've been holding back for a while to not draw attention to yourself. Whatever you want. Yeah all right. So it'll be about 2 to three minutes, and then we will announce the winner.
Yeah and we'll all float on. And we'll all float on anyway. Well, I think you took every last dime with that scam. It was worth it just to learn some sleight of hand. That news comes don't you worry. The one where it lands. Good news will work its way to all them plans.
We both got fired on exactly the same day. Well, we'll float on. Good news is on the way. And we'll all float on, OK. And we'll all float on. And we'll all float on the King.
And we'll all float on. All right, already we're all float. All now, don't you worry. We'll all float on. All right. Already we'll all float on. All right, don't worry. We'll all float. All right already.
All float on. All right, all right. We'll all float on. All right. Don't worry. Even if things end up a bit, we will all float on. All right. All ready with all float on. All right, all ready with all float on.
Don't worry. With all float on. Even if things get heavy, will all float on. All right. All right. We'll all float on. All right. All float.
Apartment waiting for your phone calls. All to end. I'm sitting watching wind blow. Watching time go. Watching cars go by. I'm waiting for these memories to begin. OK, take us off.
I thought you were taking us off. Oh, OK, I can do that. As you see, we like to show who is winning in real time. No pressure whatsoever. So let's give round of applause again to all of you and the presenters. So, OK, I think it's time we announce the winner, right. Alicia, what do you think.
Cool I think it's time. So voting is currently cut off. Although we're getting some more votes in real time. We are going to stop the voting right now. OK, so do you want to do this in unison. It sounds cooler or harmonize or something. OK OK. I'm not going to harmonize this. It's too early in the morning.
So the winner of the Innovation Award for 2025 is DataSeer. Please come on up. Back when we were going to do that. Yesterday congratulations to DataSeer. There you go. Thank you again to all of our presenters.
Can you please come right here so we can. We'll stand. Sure in each side. The honorary picture. Smile thank you. All right. Thank you very much. Congratulations so thank you, everyone who voted. And thank you for being here and giving so much energy to this.
I think the presenters and myself are really thankful. We are thankful. I just want to say before we hand over the stage, thank you to everyone again, but also to our AmpC cohort and Aaron, Greg and Jesse for trusting us with this because they shouldn't have. Trust me with this for sure. Although I think I behaved myself a little bit. So thank you so much.
And I hope you had a great conference. And with that, anything you want to add, Alicia. Yeah, I would just say enjoy the rest of your time in Baltimore. It's a lovely city, and I'll hand it back to Melody. Thank you so much to our presenters and to Jude and Alicia. This has been a great, great session. We're have a break now, so head back to the exhibit Hall for some coffee if you're ready for that.
A couple of things about lunch today. We are having a lunch in the exhibit Hall after the educational sessions, and you are also invited to attend the Get involved volunteer opportunity fair, which is an opportunity to learn about how to get more involved in assp as a volunteer and what each of our committees and task forces do. Our chairs will be there to chat with you.
If for the ones that you're interested in learning more about, that will be in the key ballroom for your outside of the general session room here. And if this session has left you hungry. To learn more about the latest developments in AI technology for scholarly publishing, grab your lunch from the exhibit Hall and then head downstairs to peel on the first floor for the AI solutions roundtable. So thank you so much.
Everything that we could feel, we feel insanely.
Segment:0 .
Good morning. It's great to see so many of you bright and early today. A couple of things I just want to talk about really quickly before we get started. First of all, I want to again say thank you to our amazing sponsors. The exhibit Hall is still open today, so please make sure that you get to spend some time in there and visit with our sponsors and exhibitors today.
It is also the last day to get your really amazing SSP merchandise. I don't know about you all, but I'm ready for some more comfortable clothes. We also have scarlet kitchen merchandise in there, and the SSP originals auction will end about midday today. So if you are bidding on something and there are some really amazing pieces made by our very own members, so please check all of that out.
Today there are a couple of items in the lost and found, including a laptop I believe, so please, if you've lost something, please stop by the registration desk and pick it up. We want to make sure that you get it before you depart today. One quick announcement. You're not the first time. You're the last time you're going to hear it. But there is a poll as part of the session that's going to be on Mentimeter.
So if you want to get prepared for that, that's a great opportunity to do so now. And before we spend the next hour learning about the latest emerging innovations in scholarly publishing, I want to take a few minutes to introduce a new industry award, the Rosenblum award for scholarly publishing and impact. This award celebrates past innovations that have transformed the scholarly publishing ecosystem, focusing on technologies, standards, or practices that have become indispensable to its operation.
Let's take a look. Hello, I'm Wayne Ci, Chief executive of the Association of learned and professional society publishers. I'm pleased to announce that five leading scholarly publishing organizations, Alps addresses, NISO, SSP, and STM have collaborated to develop and maintain the Rosenblum award in scholarly publishing.
Impact created in memory of Bruce Rosenblum, a trailblazer in scholarly publishing standards, the award reflects his legacy of innovation and collaboration Among his many achievements, Bruce was instrumental in creating the National Library of Medicine's DTD, around which the scholarly publishing community coalesced for content production and distribution as the journal article tag suite chats, and similar models for books and other types of publications.
And I'm Peter Berkery, executive director of the Association of University Presses, to be given annually, the Rosenblum award celebrates innovations that have transformed scholarly publishing, focusing on the technologies, standards or practices that have become indispensable. The Rosenblum award fosters appreciation for the innovations and infrastructure often taken for granted that power.
Scholarly communications. A key goal of the award is to promote ongoing development in ever wider use of these technologies, while inspiring continued progress in the field. The award isn't given to individuals or organizations, and it carries no monetary prize. It is intended to highlight important aspects of the ecosystem and to contribute to the preservation of the history of modern scholarly publishing.
I'm Todd Carpenter, the executive director of the National information standards organization Nisa. The mission of the Rosenblum award for scholarly publishing impact is to inform the community about each year's recipient and foster a conversation about its development and its significance to the scholarly publishing today, and its potential for broader and deeper impact in the future. This includes providing context such as the state of affairs before a given year's award recipient was developed and the reason it was needed.
The people and organizations in its development, and the story of its evolution from concept to trials and revision, to inspiration and innovation, to becoming a fundamental component of the ecosystem today. To this end, we will create a video discussing and documenting the evolution of each year's recipient, conduct an informational webinar about it, develop a web page documenting it, and participate in other discussions and events throughout the year.
Hello, I am Melanie dolecek, executive director of the Society for scholarly publishing, the recipient of the 2025 and first Rosenblum award for scholarly publishing. Impact is the Doi. For the past three decades, the digital object identifier has become an indispensable feature of the connected ecosystem for scholarly outputs of all types. Doi solve the common issue of broken links by ensuring research objects are always discoverable, even if web structures change or content moves by adding metadata such as titles, authors, abstracts, license information, funding information, data set links, and publication dates.
Doi improve the findability and impact of research through discovery services, repositories and databases. Building on its initial purpose facilitating persistent reference linking it led to the development of a host of related systems and standards for identification, documentation, registration and resolution that characterize the scholarly ecosystem of today. And finally, I'm Caroline Sutton, CEO of the International Association of scientific, technical and medical publishers, STM.
It has been a pleasure working with my counterparts at the other four organizations over the past year and a half to develop this award through collaboration and consensus. We believe that this is the first such initiative done jointly by our five organizations. We will continue to oversee the award as the governing committee, and we have each appointed two representatives from our organizations to the award planning and piloting committee, who have met regularly over the past year to make the award a reality and will continue to implement the award each year.
More information about the Rosenblum award for scholarly publishing impact is available at Rosenblum award.org. Great, and you can learn more about that award. And there's much more to come. As they mentioned in the video, perhaps some of the innovations that we learn about today will transform our industry like the Doi and be future Rosenblum award winners.
And with that, I would like to introduce the hosts of the preview session this morning, Elisa Williams and Jude Pereira. I'm ready to come down town and stay. With all my favorite clothes. OK Good morning, everyone. So are you ready for the preview sessions.
I didn't hear you. Did you not have your coffee yet. Come on, hype it up. So, yeah, today we are actually looking at some really amazing presentations. We have 9 coming up, and I will be the unhinged side of the hosting party here.
And with that, I'm going to give it off to the hinge side. Thank you. It's very funny that you are making a joke about coffee, Jude, because you were just saying you didn't have time to get coffee yourself yet. You have so much energy. Yeah, it's just my reserves at the moment. Hi, I'm Alicia Williams, I'm from Aries systems, and we're going to be your hosts, as all of these excellent companies have five minutes to impress you.
I wanted to actually start this out in a similar way to my favorite podcast, which would be starting out saying, what is a preview. However, I learned from Doctor Schiffman, I cannot give you the merriam-webster dictionary definition of preview. So instead, I'm just going to remind you that at the end, you will get to vote for best innovation. So as you're watching these, just think about how it may impact both your worlds, your little corner of the scholarly publishing community and the larger community.
And we will be sharing a QR code at the end. Yes so that's the interesting part there at your mercy today. So you will be voting for them. And how it's going to work is the screens are going to show some QR codes. So like Melanie said, keep your phones ready. I don't think none of us have a problem with that. Make sure that you have your Wi-Fi set up, and then you'll be able to vote for the amazing people today.
So with that, Elisha, are we ready to kick off this onslaught? We are. To first up representing copyright Clearance Center. Please welcome Jessica Thibodeau, who is senior director for information and content solutions. Welcome, Jessica.
Hello, everyone. Yes, my name is Jessica Thibodeau. And as mentioned, I'm a senior director of information and content solutions at copyright Clearance Center cc. CeCe is a pioneer in voluntary collective licensing, working to advance copyright, accelerate knowledge and power innovation. Today, I want to talk with you about trusted researcher identity and a new service that we are developing called Ringgold researchers.
But first, just a little bit of context as to why we went down this road. In today's scholarly publishing landscape and we've heard this all week at the conference, research integrity is imperative. Earlier this year, research, consulting and CC spoke with over 50 society publishers to identify what was top of mind, including the key pressing issues and identifying potential research integrity concerns.
Recruiting peer reviewers and recruiting and retaining editors all rose to the top. The community has agreed that better identification and validation of researchers and their research related connections will help improve confidence that a researcher is who they claim to be, helping to create more overall trust in the research output. From csec's work supporting our persistent identifier based solution, Ringgold organizations.
We understand that the combination of author information connected to accurate organization affiliation information can be a powerful signal towards establishing trusted identity. And we hear this echoed from key industry associations and groups such as STM, who recently published two reports on trusted identity and academic publishing, which I highly encourage everyone to check out. But we also know that there are challenges with the underlying data, especially with the availability and quality of the data requiring stakeholders, particularly publishers, to spend a significant amount of time manually gathering, cleansing and connecting information to validate identity.
Now this could be going out to Google Scholar. It could be pulling in information from the orchid profiles, looking at the institution website, pulling in information from systems, et cetera. And with the volume of cases of research integrity misconduct increasing, as noted here by sabeena in a uksg insights piece published last year. These manual reviews are not sustainable, and there's opportunity to leverage automation to produce data signals that help focus the subject matter experts on the research integrity and editorial teams on the more problematic areas.
So, to address these challenges, c-c-c has developed a beta version of our Ringgold researcher service, which helps scholarly publishers and service providers systematically and more accurately identify researchers, their affiliations, and other research related connections. Utilizing our robust data pipeline capabilities, the service disambiguates researchers who are referenced in the scholarly literature and assigns a globally unique persistent identifier to each researcher record.
It's initially available via API and enables users to search for researchers, obtain detailed researcher profiles for use in the publication process, and provides metrics to better understand the quality of the disambiguation process. And because we are leveraging knowledge graph technologies to do this, the service uncovers the relationships between the researchers and their collaboration networks, affiliations, publications, and their areas of expertise.
And finally, our approach provides the means to follow the evolution of the discovered identities. As more information becomes available and the existing information is validated. Ringgold researchers is intended to be used with other internal and external data sources and software systems to let publishers confidently uncover those connections and potential patterns that can aid in the evaluation and detection of research integrity issues.
But it can also be used to identify peer reviewers and guest editors in suitable disciplines to identify potential conflicts of interest. To more accurately inform funding eligibility under institutional agreements, and to help publishers better understand their researchers to inform certain decisions. We are currently working on a pilot phase, and we welcome discussions with the broader community on how Ringgold researchers can support researcher disambiguation and identification at scale.
Thank you. Thank you. Jessica OK, so a little fun fact, before we call up the next contestant, as I like to call them, is that they have five minutes, people. They have five minutes, and they know I'm going to cut them off. So let's give another round of applause for Jessica for keeping well within that time.
All right. So now we have from DataSeer. Please welcome Tim vines, founder and CEO. Could I get my slides. The clicker is right here. You need to press the clicker. There we go.
Brilliant Thanks very much for having me here. This is how scholarly publishing feels for you right now. You're not alone. There's a lot of pressures on us at the moment, so we hear a lot. Stop blocking progress. Get out of the way. Researchers are doing great work. They could be saving lives. And we're getting in the way with our slow, pesky peer review process.
That's really annoying. And we hate it. So just get out of the way and let us save all those children. At the same time. You have to eliminate research and publication fraud and do more checks and make everything clean, the clean, the whole research record up. Because at the moment it's getting very contaminated and becoming less useful.
And together, these two things, I mean, we've been hearing about these for a long time so that these aren't new pressures. However, the tide is now starting to move and you may have heard the rumor that many US federal agencies and philanthropic organizations are thinking of cutting support for APCs, much like the Gates Foundation has done. And this could become a severe cash crunch. So we have to do all three of these at the same time.
So do the first two with less money. So automate is really the only way out of this. In fact, this slide should really say automate or die. And so in particular, what I want to talk about is how I can help with fiddly, fiddly editorial office work. And this is a really big time suck. And money suck in the scholarly the scholarly process because you have to do it for every submission that arrives at the journal.
It's not just for every paper you're going to publish. Every submission has to go through the editorial office checklist. And these checks are getting more and more extensive, more intensive. Or they should be. Maybe you set up to do them more intensively, but your editorial office staff can't keep up. They don't have time.
They end up not doing them as well as they can. So what we need to do is expand and solidify these integrity checks and at the same time reduce the cost of doing these checks. And AI is going to help with this. LLMs have got to the point where they can now provide thoughtful feedback on policy compliance. Not yes, no. But hey, I think you should do this.
I looked at this document. It doesn't meet our standards. So these are the actions that are required. We can take this technology all the way into complex open data checks. This is one of the hardest parts of the editorial office checklist, and we have managed to automate most aspects of it. We can also actually expand this to a whole suite of editorial office checks.
Our LLM is very powerful. It's very good at spotting the issues that need to be dealt with. And we can also draft emails. And this allows editorial offices to be able to complete the checklist in just a few seconds. So for example, you see the green box there says action summary. It's all good.
This one can just carry on the data on an acceptable repository. No further action is required. And this is what our user interface will look like. We can also chat to update the rules on the fly, and this is a minor feature, but is also incredibly important because one of the problems that previous AI solutions have had is that as you're working away in the editorial office, you arrive at situations that you could not have anticipated when you were trying to describe the rules that the AI should follow.
And typically you would have to go back to the company that made the AI and say, oh, you need to change this, you need to retrain it. We don't need to do that anymore. We can just talk to the LLM. So here is an example, just for a moment of a manuscript that does need action. They haven't put the data in the right place. Here's a different one where the data are on a repository, but they haven't provided a URL.
But if you look quickly at the data accessibility statement, you can see that they've actually given all the information necessary. And so now we've opened up this chat with the LLM to say, hey, could you change the rules because we don't actually need a URL if they're on a data sets are on a repository that requires an accession number, and then you can use that to update the rules on the fly. So you can converse with the LLM and allow the editorial office to deal with all these problems that happen, all these exceptions that they want to account for.
And it becomes a local, well rounded member of the Office team because it knows all about your little individual idiosyncrasies at the journal. And I'm going to stop there. Thank you very much. Thanks, Tim. Now, from impulses, please welcome Barry beehler, Vice President, publishing, education and media.
So one of the themes I have heard over the last few days is that publishers are AI curious. And today there are really two ways to handle AI in your organization. One of them is to develop your own AI, which you have developers in the back room building and needing to maintain, or you get exposure to AI through the various platforms that you've licensed.
We feel there's a white space in the industry which is licensing accelerators or adapters for your specific discrete tasks in your workflow. For those of you who don't Monk, which stands for monetizing knowledge, has been on the market since 2009 under the brand name of IPC scholar. Today, it serves over 100 global publishers, 20,000 institutions and 40 million daily users.
The monk platform is built on AWS on microservices, so it's highly modular and highly configurable. There's three different major sections, which is the Publishing module across the top. Across the bottom is the delivery module, and then in the center is the AI accelerators or AI accelerators, which are part of the platform but can be licensed separately as a library. All of you have your unique workflow and you all also have opportunities to embed AI across your workflow to minimize those tasks.
Those manual tasks, as many of us have talked about, this doesn't remove human in the loop, but it does help the human do their job every single day. Our accelerators and agents fall into four categories to create, content, review and edit, transform and publish and distribute. Today I'm going to talk about four of those. One of them is author, AI assistant, Alt text generation, format transformation, and language translations.
For the AI author, you can build derivative products off of the products that you have. Many of our educational clients use this to create course outlines, to create derivative material for the instructors and things of that nature. We set up guidelines based on your editorial rules that you can easily. Instead of having to write prompts out, just click on specific activities such as content type, language complexity, student grade, things of that nature, which will then create the content behind the scenes.
This can be on one book. It can be on 100 books. We don't care. You can load it up into the system for language translation, and we all know you can throw content into Google Translate, but we actually have put in there from going from source language to target language to target country, because there's nuances associated with that.
Again I think Google Translate can do a good job, which would be essentially what was translated here in the NMT side. But we actually add in a reflection based translation agent, which is always self-evaluating itself to improve. And we found that this significantly improves the language translation. All of us here in the room are dealing with European Accessibility Act, as well as the ADA.
Title Ii compliance. We have an Alt text generator. You can load up individual images, or you can point your digital asset management system to the hub to create the Alt text. What is a little different with ours is that you load up the content. In other words, like a chapter or a journal article. You load up the images, and it creates the Alt text in context.
So it reads the article and figures out the appropriate Alt text to create both the short and the long term. You also create your guidelines or your prompts and run it through the system just as you see here. You can then take and edit your short and long term excuse me, long Alt text format transformation is nothing sexy. It's all behind the scenes. And truth be told, there's a little bit of scripting and a little bit of AI here, but we've been able to automate the PDF to EPUB transformation to be 98% accurate.
Just to give you an idea, all of this is going to require you to have governance guardrails and human in the loop. The governance is what your organizations want to have in place that we adapt the AI hub to. The guardrails are your LLMs or small language models that we can create for you on your corpus of content, and human in the loop is obviously your editorial and production team, but with this, you have the opportunity then to embed the AI agents into your workflow to complete discrete tasks.
Again, all while not removing human in the loop. We believe human in the loop is still a proper tactic to use. Again, we believe there is a white space in the industry. You can have your developers develop the AI. They're going to have to maintain it. They're going to have to monitor it for biased and drift and things of that nature. Our AI hub does that. You can also leverage the AI in the platforms that you've licensed, and that's fine as well, but it's contained to that platform in between.
We believe there is, as I said, a white space to be able to license specific AI agents so that you can minimize and automate as much as possible in your workflow. Thank you very much. Thank you very much, Barry. So before we go on to the next presentation, I have a little bit of a story.
So the next presenter comes to me 15 minutes before this starts and asks me, can you be my prop. And I said, yes, of course. So I don't know what he's going to ask me to do. I have no idea. Maybe I'm overhyping this, but please give it up for Ravi Venkataramani from Priya docs.
Well, thank you, Jude, for that great introduction. It's great to see you all today. I'm Ravi. Oh, there it is. CEO of paradox. I think all of you have had a great conference. So today I asked you to help me. So just give me a few seconds before I get into that aspect. So I want to talk to you today about how we can ensure higher quality submissions, faster editorial decisions.
I'm pretty sure for everybody. Research integrity. I think a lot of my fellow presenters are talking about the same topic is how do we tackle this problem. And as we look at the problem itself, obviously rising submission volume and also the research integrity pressures have led to manual desk reviews now being needed to be done on every article, which means there's bottlenecks being created.
We have low quality submissions slowing things down. I remember a talk from ITP at STM last year where they said they had 500,000 submissions. While they were happy about that, they were not happy about the fact that 80% of them had to be rejected because of poor quality. And finally, I think the people who are introducing these issues are becoming smarter. They have various tools, and what it means is it's becoming harder to detect and it's a difficult problem.
Meanwhile, I mean, I think this is a triangle everybody understands, especially in our industry. We have the constraint of we have a lot of volume coming at us, but we still need to do this at speed. Authors expect that research to be published as quickly as possible, and meanwhile, we have the onus of making sure that the quality is where it needs to be and that we can make sure integrity is maintained.
This is a really hard problem, and when we look at this, we think, hey, there's so much coming at me and how do I solve it at this point. I want to take a little bit of latitude and use my props. I'm going to include Alicia as well and help us frame the picture. I think this last three days we've heard a lot of different information. There's a lot coming at us and we feel, I think this is a good time for us to think about.
How can we all just settle down and take in the moment. So I'm going to ask all of you. I read a book recently. It's called How to train your mind. It's by a great author called Chris Bailey. He's the author of the productivity project, and it's about how to meditate. And I think this is a good time for us. I'm going to ask you to indulge me and just take a minute to go over a quick meditation exercise.
So what I'm going to do is I'm going to ask all of you to just take your thumb and forefinger if you can just hold this together. Yeah and then just put it on your lap, sit comfortably in your seat. Just close your eyes. I'm going to start my timer here so that we don't just stay here forever. I know Jude is going to kick me out any second now, but.
Yeah so just close your eyes and then just focus on your breathing, your breath coming in your nose and then coming out to naturally. Nothing special. Just imagine your breath going in, but just focusing on the air, going in through your nose and then coming out. You will have thoughts coming through that disrupt you and take your attention away.
Just let that happen, but try and come back to you. The normal process of breathing. So now that you're in that state where you've now got all your thoughts under control, just imagine your wonderful backyard. You have a great green backyard. You have great trees in the corner. You have a beautiful lawn, green grass.
You have a vegetable patch on the side, all those growing healthy. And then there's flowers all over. This is a sight to see. And you want to go sit out on your deck and watch this yard. It's just amazing. I'm going to interrupt that now. I want all of you to open your eyes now.
Imagine that this yard now starts to get weeds. We have weeds in the grass. We have parasitic plants coming near the trees. We have all these things popping up. This is very similar to what we're facing in scholarly publishing today. The vast majority of our yard is still in good shape. It's still something that is a sight to behold.
But we have these bad actors sprouting up everywhere. Does this mean that you take weed, be gone, and then go destroy your yard. I don't think so. I think what you do is you take a very sorry Excuse me. Let me stop that. We take a very different approach. We actually go after the weeds. But don't kill the great plants and the great grass and the great trees that actually make this happen.
So what if we said, hey, I'm going to present authors with solutions, which allows them to run a check on their content and assume that they're good actors. Assume it's a good plant. Don't call it a weed till it is a weed. Give them an opportunity to address their issues in their manuscript. Help them address any integrity issues like citing retracted references or self citations, things that they may be doing accidentally.
If we call everything a bad actor and everything a weed, then you won't have this great landscape or great industry that we have. Sorry, Ravi, I have to cut you off. It's five minutes. Oh I'm sorry. So on that note, that's what we're trying to build. I want you to walk away with that thought is, how can we lead with trust.
Come and see us in our booth. And I look forward to doing this with you together. Thank you. So, Alicia, I have to say, right, what we talked about just before. That's my timer. Oh my God. OK timer is going off everywhere.
What were you imagining when Ravi asked you to do something. Because I thought I would at least have to do some self-defense or something along the lines of that. I had no idea what to expect. It was calming, though, wasn't it. Which is a letdown. I don't want calm on this stage. Honestly, I was thinking about whether my husband has mowed the lawn while I've been gone.
Oh, yeah. My God. Perks of living in a city I don't. I have dead plants everywhere, so. Well, thank you again, Ravi. Especially for the meditation. Now it's time for kudos. Please welcome Charlie rappel, co-founder. Thank you.
Thank you. And thank you, Ravi, because I was sort of a bit nervous. And then I feel very zen. Very zen. So keep the zen going, people. And I'm going to talk a little bit. Not about I. Sure you're all very disappointed not to have another AI talk. I'm going to talk about science communication, which has been the other big theme of this conference since shark guy.
And so I'm going to talk about the work that we've been doing at kudos. You may kudos as a platform that captures plain language summaries and tries to broaden the audiences for those both within and beyond academia. And having become quite successful at that, we're now really focused on trying to capture information about the people who come and visit our site and drawn in by this plain language content.
But they're not registered users, they're not from institutions that we all know and love. So how do we find out more about them. And that's the unique work that we've been doing this year. And I feel very in the middle of the set today. And I should have thought of this when I named the company. Because you'll remember the first talks you hear, you'll remember the last talks you hear. So please try and remember me as well.
And for next year, I'll call myself zoodles. That'll do. And so, without further ado. So I've never even seen the Masked Singer, but I thought it'd be a perfect fit for what I was trying to talk about, because we're trying to learn more about people and take the mask off them effectively. But as with most of your sites too, I would think, but certainly in the wider ecosystem of the web, 90% of visitors to websites are anonymous.
So it's the largest proportion of visitors that we have to our sites, and we don't really know who they are. In our case, they spend a lot of time on the site, so they are looking at multiple pages. And therefore it's kind of increasingly important that we learn about who these people are and what they're doing with this content. And for us, it's been particularly challenging, or it's particularly acute as an issue because we have done so much work to build visibility and engagement with the content.
So I last spoke in one of these preview sessions three years ago, and I talked about search engine marketing and all the work I was doing to follow the news cycle, identify the specific questions that people type into Google when they want to know about a topic that we all might have content on, and then I build pillar pages around that. So why is the sky blue. And I find the summaries of the research that we have that address that question.
And I'm saying to Google, when someone asks that question here is some really authoritative evidence based content. But it's been summarized in plain language. So it's accessible. It's an answer to that question. So that's the kind of work that I continue to do. And I've been doing that so successfully that we now have these millions and millions of users that we want to know more about.
So we've been very successful at teaching Google that we're a source of authoritative answers to questions. We've also been doing a lot of work beyond just Google to actively target and reach audiences beyond academia. So all of those that David Schiffman was talking about in the opening keynote. We've been really proactively reaching educators and health professionals and policy makers and people working in industry and so on and so forth.
And great. Fantastic been really successful at reaching those audiences. We've had massive growth, growth in users and usage in human visitors to the site. I should also emphasize, but although it's free to register with our platform, obviously most of those visitors are not going to do that, which is something, again, I think is probably familiar to all of us.
So how are we going to find out who these people are and what they want with this content. What are you going to do with the information that you've found. So we've introduced this new dropdown. These appear on our story pages and on our showcases. And we just ask them to tell us a little bit about themselves. And one of the things that we found really effective was putting a very humanizing sentence.
So I say please help authors understand who is reading their content. And just that one sentence doubled the number of people who were bothering to give us this information in this drop down. We asked for it once. We store that for 90 days, we've had over half a million people give us that information already, and it allows us to report back to you the kinds of people that are looking at your content.
It's similar to our registered user base, but we now have much more granularity about that other section and the different types of users in there. And that really helps us to help you achieve your targets more effectively, because we can tell you more about who is coming to this content, and therefore you can target them with calls to action, whether it's increasing your reviewer pool, whether it's getting submissions, whether it's just trying to accelerate growth in particular regions, et cetera, the Exadata is so valuable for doing that.
So please, if you'd like to learn more about that, come and see me at 408 in the exhibition. Oh, wow, that was just on time. Goodness extra round of applause for Charlie. She really did a good job. Come on. That was exactly five minutes. I'm not even kidding. So, yeah.
So for our next lesson. What's it. I was just going to say contestant again. Yeah OK. For our next contestant, he doesn't need an intro, but because we know him really well, whether we like it or not. So, I love you, Tim. Please welcome Tim from Leblanc's.
OK. Hi, everyone. I don't actually see the notes. Oh, OK. Can we pause the timer. Yeah can we reset the timer. And I will just work from my paper up here then. Yes, we'll reset the timer.
Technical issues. It won't be a good show without some technical issues because you live or die by the time of year. OK, cool. We're good. Thank you. Hey, everyone. So I'm Tim. Tim Lloyd.
If you don't know me already will by the end of this presentation, as we're going to do things a little differently. So today I'm not going to give you any solutions. I'm just going to ask you a series of questions and see where we sit with them. So first of all, I'm going to take you to a place where not all of us are super comfortable. Take a look at this picture.
Have you ever been on a boat at night. Maybe it's a kayak and you haven't yet reached the bioluminescence you're seeking. But you're traveling in a rocking ferry, returning from a night out, or sat on a dock wanting to dangle your feet in the water. Not quite sure if it's safe to dip your feet in. Have you. So what happens if the water is also stormy and it's dark and you can't see, and you can't see clearly what's underneath.
Maybe it's this. Or this. Now imagine this is your usage data. A churned up mixture of open and controlled access. If you can't see clearly, much of this is unfathomable. On one side, you've got waves of anonymous and unattributed open access usage crashing over your platforms. On the other side, you've got users trying to get in. You're having to turn away without knowing who they are.
And then there are the predators, the AI that floods the zone now and more and more often. And what do those massive spikes in usage do. They drown your systems and they poison your data. Only last month, I was talking to a publisher who was saying that they were seeing enormous increases in usage of their data. And they said to me that they knew that they should be happy about this.
But at the same time, they confided in me that they had a pit in their stomach, that most of it probably wasn't real. Is that you. Do you have that pit in your stomach. Do you have that sneaky feeling that there's something under the water you should be concerned about. That's probably not real.
So is this you fishing for impact in a churning sea of usage data. Is this your nonprofit publishing program. Is this your commercial publishing business. Is this your society publications team or your institutional repository. Do you worry about funder support drying up for your open access publishing programs. Our institutional relationships are at risk because your usage reports fail to capture all the value you offer, such as open access, usage or usage from other platforms.
Our denials are lost sales opportunity because you don't know who was turned away. Now take a deep breath. Maybe some more yoga. Isn't this a better place to be. Don't you feel your shoulders immediately relax and your heart rate goes down. Mine's not yet.
And you're ready for your second cup of coffee this morning. So today I'm not going to give you all the answers, but I'm going to encourage you to come and talk to me because if there's one company that can help you get here, help your shoulders relax with or without coffee, it's lib links. I can help you. We me lib links can show you who's engaging with your content, both open and controlled.
We me lib links can give you the full picture and that allows you to demonstrate the impact of your publications to your customers, to your community stakeholders, to authors, to your editors, to funders. Can you imagine opening up a world of custom reports where the impact of your publications is crystal clear. You can see exactly which organizations are engaging with your open content.
Which organizations are being denied access to your controlled content. Moreover, you can see which communities are engaging with your content, where in the world and on which topics. Can you imagine being able to show a funder that their open access malaria research was being used by health institutes in West Africa to help solve this deadly disease.
Or showing a funder that government agencies in Ukraine or Poland are engaging with their latest monograph on international relations. Can you imagine that. This is what we do. Ask me. Ask me about our touchstone product and breathe easy. I'll be here afterwards. Or contact us via live links.
And by the way, if there's a shark expert in the room, I do know that sharks don't eat toxic waste in Realty. Thank you very much, everyone. So, Alicia, before we go on asked me, how are you running without coffee earlier. It was live links. I never would have known, I know. Thank you.
Tim we loved your presentation. Up next from orchid. Please welcome Chris Shillam, executive director. Good morning, everybody. I seem to have lots of sharp pitches here. Am I going the wrong way. Keep going.
There we go. Well, morning. I'm afraid this is a metaphor. Free talk. No weed strewn gardens. No much maligned and misunderstood sharks. I'm instead, I'm going to talk to you about orchids. Verified email domains. This is a new feature that's live.
We introduced last year. And the context of this is the scholarly integrity crisis. You've been hearing a lot about that. Lots of good insightful talks in this conference. And what we've learned over the past few years, talking to folks who are trying to solve this problem, who are building research integrity tools, is that PIDs are such as orchid, a key to helping understand the relationships between the key entities of research and detect that misconduct.
At orchid, we're not trying to build the research integrity tools. We're trying to build the data and the connections that enable folks who are doing great innovation in this area to build those tools, and peds can help with things like understanding. Track records of researchers, their affiliations, and identifying networks of bad actors. So many of you may know that ORCID data contains data not just added by individual researchers themselves, but by trusted organizations.
We preserve the provenance of every item on an orchid record. In the past few years, we've been calling these trust markers. You can see in the little screenshots there that the items with the blue icons have been added by the researchers themselves. The ones with the green check marks have been added by typically our member organizations. And our contention and we've been talking a lot about this year, is that more trust markers equals more trustworthiness.
And referencing the STM report on trusted identity that you heard about earlier from Jessica by working with orchid, platforms can gain confidence in user identities, and contribute to a positive feedback loop by adding verified claims back to researchers profiles. So we're a key source of the data that can be used to validate researcher identity and bona fides.
One of the things that we've done most recently, and this is what I want to talk to you about today, is we've added professional email domains as a new kind of trust marker. So traditionally in orchid, folks have tended to keep their email addresses private for obvious reasons. They don't want to be spammed. We've now enabled users to make their email domains public, even if they want to keep their email domains.
The full email address is private, and obviously email domains, particularly what we call professional email domains, are a key source of trust information, a key source about affiliations. So we've taken all of the email addresses in an orchid. We've matched them against the raw data, and we have tagged email domains that are associated with scholarly organizations.
And we are now prompting the users to make the email domain public, even if they want to keep their email addresses private, and added that as a new trust marker to orchid records, we've taken a much more proactive stance than we have done traditionally in both encouraging new users to add professional email address as well as a personal one, and also in prompting users to appropriately set their privacy settings.
And this information, as I've said, is really quite a low barrier way of researchers signaling their affiliations. Also, key doesn't require their institutions to do any work. So this is something we do. The users can essentially self-service this. So as I say, we launched this in Q4 of last year. It's been very successful. The orange line at the bottom of this graph.
We now have 20% of active orchid records have a verified public professional email address. The top line, which is now over 50% That's driving up the number of active orchid records that have at least one of the trust markers. So we're very pleased with this. We expect this to continue growing over the next six months to a year. I'm going to be around for the rest of the conference.
So if you have questions, find me and I'd be happy to answer them. Thanks very much. OK, so we have two more to go. So next we have from typify systems. Please welcome Caleb closet.
Why do we do what we do. I'm guessing you didn't become an editor primarily to wrestle with crazy syntax or chasing down formatting inconsistencies. The work that we really care about is helping ideas find their audience with clarity and impact. Which brings me to the core philosophy of why I'm here today.
This philosophy that tools should free us to focus on meaning and not trap us in TDM, that tools should do more, has guided typify for more than two decades now, drawing on 18 years of partnership with Nasa and with their blessing. We're launching Orion, a drop in replacement built on modern XSLT, preserving your track changes and the workflows you rely on natively handling tables and fully extensible to expand what's possible.
Like the constellation that's named after Orion is recognizable cognizable and familiar. Our goal is that you can be working in textiles on a Friday and continue on Monday working on the same document in Orion. So this is a live view of the Orion interface. Looks pretty familiar. We're a launch into the. Sorry got to start it. We're going to launch into the document info dialog, which looks very familiar from a textiles perspective capturing all your metadata.
Moving into cleanup to do all the mechanical corrections to your document and your Paragraph Styles. We don't want to use word styles, which is this huge alphabetized list. Instead, we want to use the tabbed interface that extyles pioneered, and we can import this directly into Orion so you don't have to do any rework all your keyboard shortcuts, all of that comes through your auto redact rules. Also imported into Orion so you can continue using those directly.
This should be triggering. Just a second. Here we go. And with full track changes, you don't have to do diff compares to compare and figure out what actually happened in an autodidact session, we can see that directly bibliographic referencing is managed through an edifice integration. And so Crossref, PubMed, predatory journal, database, Retraction Watch, all of that is handled for you automatically fully tagged, structured in the way you want your reference to be structured.
And then all important, we want to export that act to XML. All this leverages the type of fie workflow server. And so we can extend this and augment these transforms to deliver both your native jats bits, STS, XML, but also other derivative outputs, extracts and pieces. Here are the files open up inside word for convenience, but the actual XML is also downloaded to a local directory. I'm pulling this off of our server right now and showing you in oxygen so you can see the fully formed.
Structured XML. And that's really why I say do more. And I gave you a lot of time. Back you did. My goodness. Look at that confidence one 1:51 seconds to be exact. I'm impressed. Me too.
Thank you so much, Caleb. And last but not least, from virtu. Sales, please welcome Rodney elder, executive vice president, North America. Thanks for having me. Does that mean I got six minutes and OK. All right. So the person who prepared this presentation, I think they thought it was 50 minutes, not five minutes.
So I'm going to have to Zoom through these slides, which sales has been around for 25 years. What we do is we provide software for publishers and a summary is down the bottom. Imagine a place where you can put all of your product data, no matter whether it's digital, whether it's PACs, whether it's books, whether it's articles, content, it doesn't matter. It goes in one place.
Then what we have is production, that you can then track specifications, costs all in a central place, task management. But what we're also combining is all of the rights and licensing. So as you are going and creating new products, you need to manage your rights and licensing. What can you do with that article. What can you not do with that article. Someone a year later wants to do a permission sale on it.
Can they do that. Yes no. Everything lives in one single location. We then have the Royalty calculations. So as you are producing products, you're then tracking what you can and can't do, how much you need to pay people when you do sell it, and whether it's a subscription models or whether it's straight sales.
Biblio then calculates and then tells you how much you need to pay all of the contributors along that. We're also doing digital asset storage and control of that and then tracking sales. So that's a summary of what we do. And here's a list of some of our lovely clients, some of them who are here with us today. So what we're doing is addressing all the things that people have mentioned here, which is about increasing volumes and complexities.
So how are we doing that. Well, what we're doing is bringing together all of your assets and metadata in what we call Biblio flow. So Biblio flow will combine anything that you need about any product you have or piece of content in a single location, whether it's a contract information, whether it's the assets, whether it's a manuscript, whether it's the jacket image, whether it's an e-book, anything is in one place, and then it transforms that all the way down to all the various formats that you might have available.
So here's an example. What we're doing is allowing publishers to combine all of and centralize all of their publishing in a single platform, no matter what the type of content is. MIT Press just went live. They rolled in multiple systems into Biblio, so their books and journals and articles are all in a single location. They've got automated Doi identifiers that are allocated to things.
That means that they don't have to go to 10 different systems to find information. They just log into Biblio and they can access everything that they need. And then share that information out. What we're doing as well is combining AI into the actual tool, and we're doing this for things like people have said, we want people don't want to be spending their time doing meaningless tasks.
We are automating things like keyword generation. So as you're going through or assets, being able to do Alt text for assets and images. So as you're in the user interface and you're doing. I need to create a description for this book. It will go and read the abstract and then generate a description for you, which you can then actually have it retranslated into different formats or languages. And that's all available on the tool.
One of our clients has just done a big backlist keyword regeneration, so all of their titles that were in there, we generated new keywords for them that then generated an ONNX feed that sent out that feed of all their data with the keywords. They're then able to analyze the sales of. What's the value of doing that throughout the software. We're also improving workflows to automate tasks. So when assets arrive back in the system to say, hey, we've just received the print ready file, that can then be automatically sent to the printer.
It can then notify people so that you don't have to email message people. Where are we at in the workflow. The system will automatically tell you and keep you going. Oxford has done this internationally with their production and being able to manage that across their various ones University of Pennsylvania Press being able to manage all of their print on demand, their e-book files with vendors as soon as they hit the system.
We can then send it out to the right vendors and share them appropriately. What we're also doing is at the end of this, once you've made all the changes you need, we're actually doing actionable analytics. So in justice sales, be able to say, do you know what is this work that we're doing, actually doing anything for us. How much do we need to pay people.
When do we need to pay them. So we're actually bringing that data back in and then sharing it. And then we're also doing things like forecasting when you should be doing reprints udr. Where is that paper from. What's the certification on that. So all of that is going into our production process and helping you go through it.
Here's another client. And then I've just yes, there we go. Two seconds and we're done. So who cares. Thank you so much, Rodney. So that's all our presenters. So please give a huge round of applause for everyone that came up today.
I'm sorry, but that was my definition of huge. Come on, pick up the energy, people. Come on. Woo OK, so now we're getting to the fun part where you have a part in making sure that one of them wins. So we're going to the voting part. There will be QR codes shown on each side of these. I mean each of these screens.
And please scan that QR code. It will come up in a second. I think they just want to show us off if you could get those up now. Yes perfect. So if you do scan those you will go to the link in which you can vote. So we will be back shortly to announce the winner of Best innovation.
Stay tuned. You won't want to miss it. Yeah, yeah. Talk to your neighbor. Let out that cough you've been holding back for a while to not draw attention to yourself. Whatever you want. Yeah all right. So it'll be about 2 to three minutes, and then we will announce the winner.
Yeah and we'll all float on. And we'll all float on anyway. Well, I think you took every last dime with that scam. It was worth it just to learn some sleight of hand. That news comes don't you worry. The one where it lands. Good news will work its way to all them plans.
We both got fired on exactly the same day. Well, we'll float on. Good news is on the way. And we'll all float on, OK. And we'll all float on. And we'll all float on the King.
And we'll all float on. All right, already we're all float. All now, don't you worry. We'll all float on. All right. Already we'll all float on. All right, don't worry. We'll all float. All right already.
All float on. All right, all right. We'll all float on. All right. Don't worry. Even if things end up a bit, we will all float on. All right. All ready with all float on. All right, all ready with all float on.
Don't worry. With all float on. Even if things get heavy, will all float on. All right. All right. We'll all float on. All right. All float.
Apartment waiting for your phone calls. All to end. I'm sitting watching wind blow. Watching time go. Watching cars go by. I'm waiting for these memories to begin. OK, take us off.
I thought you were taking us off. Oh, OK, I can do that. As you see, we like to show who is winning in real time. No pressure whatsoever. So let's give round of applause again to all of you and the presenters. So, OK, I think it's time we announce the winner, right. Alicia, what do you think.
Cool I think it's time. So voting is currently cut off. Although we're getting some more votes in real time. We are going to stop the voting right now. OK, so do you want to do this in unison. It sounds cooler or harmonize or something. OK OK. I'm not going to harmonize this. It's too early in the morning.
So the winner of the Innovation Award for 2025 is DataSeer. Please come on up. Back when we were going to do that. Yesterday congratulations to DataSeer. There you go. Thank you again to all of our presenters.
Can you please come right here so we can. We'll stand. Sure in each side. The honorary picture. Smile thank you. All right. Thank you very much. Congratulations so thank you, everyone who voted. And thank you for being here and giving so much energy to this.
I think the presenters and myself are really thankful. We are thankful. I just want to say before we hand over the stage, thank you to everyone again, but also to our AmpC cohort and Aaron, Greg and Jesse for trusting us with this because they shouldn't have. Trust me with this for sure. Although I think I behaved myself a little bit. So thank you so much.
And I hope you had a great conference. And with that, anything you want to add, Alicia. Yeah, I would just say enjoy the rest of your time in Baltimore. It's a lovely city, and I'll hand it back to Melody. Thank you so much to our presenters and to Jude and Alicia. This has been a great, great session. We're have a break now, so head back to the exhibit Hall for some coffee if you're ready for that.
A couple of things about lunch today. We are having a lunch in the exhibit Hall after the educational sessions, and you are also invited to attend the Get involved volunteer opportunity fair, which is an opportunity to learn about how to get more involved in assp as a volunteer and what each of our committees and task forces do. Our chairs will be there to chat with you.
If for the ones that you're interested in learning more about, that will be in the key ballroom for your outside of the general session room here. And if this session has left you hungry. To learn more about the latest developments in AI technology for scholarly publishing, grab your lunch from the exhibit Hall and then head downstairs to peel on the first floor for the AI solutions roundtable. So thank you so much.
Everything that we could feel, we feel insanely.
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