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SSP Innovation Showcase (Winter2025)
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SSP Innovation Showcase (Winter2025)
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Segment:0 .
Don't forget to record. Thanks, Steve.
All right. It's 11:00, so why don't we just get started? Thank you all. And welcome to today's SSP innovation showcase, where we introduce new and exciting innovations in our industry all each and hopefully about 10 minutes or less. I'm Dave Myers, CEO of data licensing alliance and member of the SSP education committee.
Before we get started, I have just a few housekeeping items to review. Attendee microphones have been muted automatically. Please use the Q&A feature in Zoom to enter questions for moderators and panelists. You should be able to find it right at the bottom of your Zoom screen. You can also use the chat feature to communicate directly with each other and with the participants and us as organizers.
Closed captions have been enabled to turn on captions. Select the CC button on your Zoom toolbar as well. This one hour session will be recorded and available to all following today's events. Registered attendees will be sent an email when the recording is available. Folks who didn't register will still be able to access free of charge in the SSPS on demand library. A quick note on SSPS code of conduct and today's meeting.
We are committed to diversity, equity and providing inclusive meeting environment that fosters open dialogue and a free expression of ideas free of harassment, discrimination and hostile conduct. We ask all participants, whether speaking or in a chat, to consider and debate relevant viewpoints in an orderly, respectful and fair manner. So about today's webinar. Today's showcase will feature five companies who will present for again, hopefully about 10 minutes.
Presenting companies include Wiley, partner solutions, Digital Science, pro, fee, cadmore, and scooby-doo. After all presentations are complete, participants can ask questions. Please use the Q&A box and I'll direct it to the appropriate panelist. You can also ask questions in the chat, and panelists colleagues may answer in real time. We will also provide a QR code that you can scan for more information.
And with that, now I'm pleased to introduce our first panelist, Kristen McNeilly. Vice President, product management, Wiley partner solutions. Kristen Hello today. Thank you so much, everyone for joining. And Thank you to SSP for having me. I am Kristen McNeilly. I'm the VP of product management at Wiley, and I'm very excited to tell you a lot today about our research exchange platform.
So what is research exchange? Research exchange is a modular harmonized submission, screening and peer review platform that unifies publication workflows. It improves our author experience for researchers who are submitting their research for consideration, and it gives editorial teams smart tools that allow for greater focus on submission, quality, and growth in their publications.
You'll see that there is a quick poll that popped up on the screen, so please feel free to take that and contribute to what things you are sort of the most concerned about in the academic research marketplace. So research exchange as I mentioned, has these three different components submission, screening and review. Our submission component is really providing an exceptional author experience.
And we use AI powered data transformation to revolutionize the submission process. So that authors can upload their manuscript, and we extract all of the key information and metadata points to help build out a robust profile of the submission information using industry standard persistent identifiers and providing authors with a really streamlined and fast submission experience where they only need to provide information just in time to help guide their submission through to the editorial office.
This platform also provides powerful insights and metrics to enable effortless journal transfers between journals. So if authors are not successful in their first journal of choice within this platform, we also seamlessly offer other opportunities for them to submit their research to other journals that are found within a set of transfer networks. So the first screen that was there, we sometimes have little videos, but I know that that's tricky to do.
So we the first screen was really just the sort of author dashboard. And then as authors kind of proceed into their submission, they're guided through the experience with a progress bar on the right hand side that allows them to select information and provide additional pieces of metadata as they come through. Our next component piece is for internal administrative users in research exchange screening.
This allows editorial offices to use multi signal detection. We have at this point plugged in about 27 different integrated checks that are alongside a lot of industry standard integrations to help preserve the credibility of scientific publication. We're very concerned at Wiley about providing the academic research market with specific tools that they can use to really help preserve integrity and quality, and providing those tools for screening within the workflow itself to make it easy to use.
We also provide cross portfolio of reporting and network analysis, as well as intuitive team management and subject matter escalation routes. So if a screener sees something in their dashboard that is concerning to them, and they would like to escalate it for further analysis by a research integrity team, those articles quickly find their way through to the right individuals who can help provide guidance about appropriate next steps, and also return sometimes that draft back to authors in a back and forth communication so that they can help refine the information that's under question.
We've really been on this journey of moving from a sort of being very reactive to integrity concerns, to taking a proactive approach. And this tool and research exchange screening has been integral in our ability to do that. At Wiley, we've got solutions that empower publishers, research funders and institutions to be able to elevate their standards of research integrity and to help preserve trustworthiness in the research publication market.
We've got solutions that foster a culture of continuous innovation and optimization, using data to help us rapidly respond to evolving needs and threats in the research landscape. It really is an ever evolving landscape where we want to be continuously looking out for the best tools that we can plug-in. We're also moving away from looking at a journal article as just a kind of standalone individual object, but instead look at it and its surrounding artifacts as a larger part of a research network of activity from which we can draw insights about a researcher, their collaborators and the quality of the research that they're presenting for consideration.
This platform delivers clear, interpretable and transparent narratives for users to make accurate and more confident and quick assessments and escalations. You can also read more about our efforts in this space through an excellent white paper of upholding research integrity in the age of AI, written by a number of Wiley colleagues.
Research integrity exchange screening again provides a workflow with 27 plus. We're continuously kind of expanding out various different tools to plug into the researcher workflow to recognize research misconduct, paper mill activity, and low quality content that's presented in context for administrators to help unpick complex narratives and smart and actionable ways.
We are fully integrated with the Wiley paper mill detection tool, including paper mill similarity detection, a problematic phrase detection, unusual publication behavior detection, generative AI generated content detection, scope match analysis, and more. And we're directly integrated with trusted industry standard third parties included ORCID, raw, ithenticate, publons, and STM hub. We provide a fully aligned and integrated experience with submission and peer review workflows at multiple touch points, and we're currently running this on over 500 of our journals.
We're processing about 10,000 plus submissions that get screened per month through our set of 27 plus checks, and about 10% of papers at this point are getting flagged for further review and analysis by our editorial teams. And coming soon. We're excited to be presenting research exchange review, which is a smart peer review management tool that serves authors, editors and reviewers.
This piece represents the kind of final components of our streamlined and output driven system, where editors can very quickly see all pertinent information about a particular manuscript and invite editorial board members to act as associate or handling editors. And those invited editors will receive automatic communications and reminders through their email, and also be able to use our AI powered tools for reviewer suggestions.
In addition to searching their own database of reviewers, where we also populate really up to the minute information about the availability of reviewers and scope matching of reviewers expertise to help editors easily select and find the most appropriate reviewers for a particular manuscript. We're very excited about this whole suite of tools that are really plugged in a modular way. And research, exchange, submission, screening and review.
Please feel free to reach out to us and get in touch for more information at any time. Thank you so much for your attention today. Dave, you were just muted.
Apologies I was muted. Thank you Kristen. Our next presenter is Tyler ruse Roos, director, publisher solutions, Digital Science. Thanks, Dave. I appreciate the introduction and Thanks, everyone, for joining again today.
I'm Tyler Roos. I work for Digital Science, and I'll be talking today about one of our latest launches which is the dimensions author. Check so. There we go. So today we'll be talking about dimensions. Author check.
It's the latest tool from Digital Science that really Kirsten sort of teed this up really nicely, which is this is a tool from Digital Science, which is meant to help publishers focus on issues around research integrity. And it's meant to be in workflow. And so we'll talk a little bit in more detail about what it is and how it fits in.
So for those who might not know, Digital Science is a company that invests in and supports software companies across the research landscape Among these are platforms that are very embedded in scholarly publishing, so ones that you might have heard of, such as figshare, altmetric, and dimensions. Digital science continues to develop these companies as well as invest in New innovations. We've recently announced awarding our catalyst grant to two teams, who will be using funding and mentorship from Digital Science to develop new capabilities for researchers and publishers.
So always trying to stay at the very front end of innovations and sort of and providing structure around how to develop new, new capabilities. But along the same lines, we continue to extend and add value to our existing platforms, which today we'll be talking about the dimensions author check dashboard, which is an extension of the dimensions platform. So the author check application itself is an extension of the core dimensions analytics platform.
For those of you who know dimensions or use dimensions, it is a platform that is a super database that contains information from publications and Grant grants data and patents, data, et cetera where you can really do some really interesting analytics around publication activity. And to extend upon that, we've been able to develop dimensions author check, which is an application that focuses on providing key insights on authorship to help publishers identify potential issues at the time of submission and editorial review well ahead of acceptance, peer review and publication.
So really, again, sort of getting in front of potential issues. The overarching goal is to improve the quality of the scholarly record, of course, but also to protect publishers brand and reputation as producers of high quality research that's critical to the community. Dimensions authorship is intuitive and easy to use. It surfaces authorship issues by presenting a researcher profiles that include risk indicators, including flagged publications, co-authorship network issues, and publication history.
So there are two prongs to dimensions. Author check that make it such a unique tool. The first we'll talk about today is data. To start with, dimensions, author check leverages more than 151 million publication records and more than 35 million distinct author profiles from dimensions. The background work of disambiguation and network analysis is done using that baseline, which then provides a foundation of authorship and publication history for author check itself.
In addition to that data, and specifically available in author check is a very large data set of what we call atypical events. So these include things like retraction notices and expressions of concern. We pull those from sources like crossref, Retraction Watch, PubMed, and even dimensions, which is analyzing publications data all the time. And then, of course, we also have alerts from the problematic Paper Screener.
This includes information around papers with tortured phrases and papers that cite hijacked journals, so the data is curated and matched to the publication and author profiles. And we then refer to these as flagged papers. So just papers that might have an area of interest or concern for those that are looking at authorship for submitted papers. This universe of data is unique and in aggregate, an important set of information that enables identifying problems from previously published papers.
We spend a lot of energy building a data pipeline to manage the complexities of this data and its various data sources, and linking all of that data to publication records and authorship history. So there's a very clear picture of authors that have published papers in the past that might have some concern. So the second prong that makes dimensions authors so useful is actually a proprietary algorithm developed by Leslie Mackintosh and Simon Porter, who are two members of the Digital Science thought leadership team.
This algorithm, which they outline in detail in a publication in scientific reports, creates a method to surface and calculate the risk of an author on any given submission using several factors. These factors power what we call the network flag. So you've got a paper flag and a network flag. An author check that can highlight potential bad actors. So the activity that we're monitoring here in this algorithm includes unusual collaboration, network properties, highly prolific authorship of large volumes of publications in given years, early career roles as authors and early career authors as co-authors, and then being part of a network with other authors with those risk characteristics.
So if you'd like to learn more about that paper, I've linked to it here, but we can certainly send out a link afterwards. It's a really interesting algorithm, really developed to understand authorship network and how that might introduce potential problems for those individual authors themselves. So after the development and implementation of that algorithm, we did a little bit of analysis to serve as a proof point for us to make sure that the algorithm did what we wanted it to do, and it didn't overcorrect or over analyze data.
So this was done last September, and we found that in 2024, 50% of authors that had a network flag based on our algorithm also had a paper with one of the atypical events I mentioned earlier, such as a retraction. And 95% of the authors with that network flag have at least one co-author with a flagged paper. So this compared to less than 1% of all authorship in 2024, and 8% of all co-authorship in 2024.
So our conclusion here was that an author with a network flag and dimensions, author check is not guaranteed to be a bad actor, but certainly more likely to be and worthy of further diligence as a submitting author. So our analysis also showed that an author with a network flag is approximately 100 more times likely to have a flagged paper. So, as I mentioned, dimensions author check is designed to be a very intuitive dashboard that leverages the data and techniques and methodology that we've created in a standard editorial workflow.
As a user, I can simply search for a given author using our disambiguated researcher data or a standard person identifier such as orcid, and then I can use that while reviewing a submission. This will lead me directly to a detailed profile on that author, and that profile will have relevant data surface quickly, and that indicates whether further discovery and investigation would be advantageous. So this includes whether the author has one or more flagged papers, that's a paper that has a retraction or a notice of potentially tortured phrase.
And so in addition to that, it also has the information on whether the author has a network flag, whether it was caught in our algorithm to say, this potential author is part of a network that should be worthy of further consideration. And we also look at things like the volume of publication. My example here shows that the author I'm reviewing has 11 flagged publications out of 149 total. That's 7% of their total publications have some sort of issue.
And then it's also there also in the top 2% of authorship volume, they also carry the network flag. So this is certainly one I would want to dig into a little bit further and understand what the issues were here around this particular author from this high level profile. Then I can quickly dive into the detailed issues around flagged publications, including looking at the reason for retraction. So I think that's a pretty key item doesn't necessarily rule anybody out that they've had a retracted paper in the past.
But let's take a look at that, the sort of universe of that and understand why they were they might have had a retraction in the past. We also include detailed information from the problematic Paper Screener, as well as data to explore their co-authorship network and review anomalies which might have raised them up to have the network flagged. All of the information and dimensions author check is interactive, with links out to additional resources.
So if you see a potential paper and you want to dive in a little bit more into the background of that, you can link out directly to other resources. So in this way, dimensions author check is giving publishers more information about risk with authors based on flagged papers and flagged networks, but giving you the tools to then analyze that risk and understand if that's just part of a normal career path, or if that's something you really want to take into consideration based on that particular submission.
So one of our driving mission statements when we designed dimensions author check was, you know, we believe that with the help of an intuitive dashboard, publishers can gain transparency and confidence around protecting their publishing reputation and also at the same time, upholding ethical standards. So thank you very much.
I really appreciate your time and attention. My contact information is here. If anybody wants to reach out, see a live demonstration of how dimensions author check works. And then also I've got a QR code here on the bottom right that links out to the dimensions author. Check website for more detailed information, including a press release around our first customer that launched, which is sage publications that launched late in 2024.
So thank you again very much. Fantastic Thank you Tyler. Our next presenter is Oleg hrushevsky, CEO of profi. OK Hello, everyone. I'm excited to present to you profi a peer review finding solution. And to tell you a little bit about the challenges that we are facing and how we approach them.
To begin with I, the poet? I want you to answer. The poet just surfaced on top of this, of this presentation. So which which reflects one of the major challenges, or at least, least some of the major challenges that people usually face when they try to think about peer review. So while you are answering this poll, let me start speaking. So that's a huge number.
And that's not just a number. It's a background for the analysis, which makes us sure that the work we are doing, the solutions that we present is actually trustworthy and is actually doing the right credit to the scientific research itself. Scientific research in the past 20 years or so has quadrupled in volume. That's unprecedented growth.
And if you look today at the volume of the published papers, not even not even thinking about unpublished manuscripts, you will see that the number of publications such that all the scientists who are active today have to be involved in some sort of peer review. This is, however, not the case because majority of people who are active today scientists are young scientists around the PhD, time prep, pre PhD, maybe some somewhere post PhD, which in most of the subjects is not enough to qualify as experts.
And this means that resource that we are using, namely expertise of people has to be used very, very wisely because it's actually a scarce resource. There are not so many experts and their time is valuable. It used to be a very simple case when the science was a true peer to peer endeavor, and these were the peer review gets their name. At that time, every scientist knew each other, if not directly, then through one handshake and then the things really worked in that ad hoc manner today we are not at this by no means we are at the same situation.
I don't know most of the scientists who work in my domain. So reputation mechanism, which used to be the drivers, don't work anymore. So networks fail. And we understand this and we understand the pressure, the importance of this resource. And that is why we essentially created a structural and systematic way to discover peer reviewers.
What profit does. That's a database, a profit knowledge base, which contains impressive number of both publications and author profiles. But what makes us truly unique are not these numbers. It's rather the layers of technology which lie behind. First of all, there is a layer of semantic technology. We understand the meaning of every publication that is that's present in our database.
On top of that, there is an eye level where we understand relations between different meanings, between different documents, between documents and people. And this leads us to the third layer, which is layer of semantic matching. What? semantic matching is an algorithm which allows you, for any given manuscript, any given document actually to find in real time, on demand, very precisely, experts on who could work as experts on this manuscript.
There are two things which are important about this solutions. One is depth and another one is dynamics. The level of annotation is very deep. It's not keyword based. It's not subject class based. We go much deeper than this paper from a given subject. This is expert from the given subject. We go really as deep as the research topics can specialize. That's the core of our semantic technology.
On top of that, we keep digesting in real time the data of new publications that become available, and this data propagates both into the semantic annotation of the papers and to the expertise profiles of the authors. And all this together allows us to tackle the main challenge, which all of you have indicated by a large majority finding relevant experts quickly. The algorithm works in such a way that, as I said, you upload the PDF or press the button in your interface.
If it's API connected and you receive back a list of relevant people 50, hundreds, 200. One of the important things to understand is that there is no such thing as a unique best reviewer. These people are usually in 100 if not thousands. And then it's up to you, the end user, the editor, to make a decision who of this particular scope of people would be your best match and so that's this.
This has always been our kind of motto, even before the large language models came to be. And our knowledge is actually pre LWM here. So it works on a different principles. And idea was we provide for you the information. We provide the assistance with the system. You, the human, the user make a decision because as, as in this case, I have to repeat myself. There is such thing as unique.
Best solution. There are many of those and that's important. So find the reviewers quickly, even for very niche areas. I should say that the market, the results of the poll which you just seen are not surprising because actually there is a bit of a lot of demand in the market for this. We have been in the we have been working for more than seven years in the market. And we have 50 plus organizations which work with us.
We work with large number of top academic publishers and with many society publishers, small journals. They are very diverse in this sense, and we try to accommodate anybody who needs our services. Along with publishing peer review, we also do peer reviewing for grant applications, which essentially shares the same kind of challenges and the same kind of needs. And in the last year, with the help of the prof solutions, more than $10 billion have been distributed in the forms of grants.
And we consider this a big impact of our research. So with this kind of overview in mind, I'm happy to invite any one of you who wants to know more about profit to contact me to reach out to prof. And we will be happy to show you how the system works, offer you to try the system and maybe welcome you as our clients. So thank you.
Thank you Oleg. Now our fourth presenter, Simon anger, chief revenue officer and co-founder of cadmore media. Simon Hi there. Yes, Hi. Thank you. David, Thanks for the introduction. I'm Simon anger.
I'm chief revenue officer and co-founder at cadmore media. Let me just put that up. Yep the cadmore was created to provide hosting and streaming services for video and audio for the academic and professional space. We recognize that societies and publishers have different needs in video than mass market solutions can offer. Metadata, workflow.
Permanence, preservation, and actually very importantly, maintaining control over your own content. Not letting it out into the wild. So in short, what we do is we help publish video rather than merely posting it online. All of our services that we provide include the provision of a media manager. It's a workflow tool, a content management system, and the place to organize all of your media.
And it's important to know that we're not talking about just the media that's going into journals or anything else. It may be all of your media, whether it's heading for marketing, whether it's part of learning all the different applications that you may have. The concept is to have a single place that manages and streams all your media, wherever you end up having it embedded.
A lot of our business is based around the media embed product that we have, which allows clients to embed video into any web page they control, and in the journal space, that tends to mean one of the major platform providers. Atypon Silverchair. Pub factory. Highwire we have interfaces with all of those organizations. So that content can be published directly into an article from our platform, outside of the journal space.
That may mean embedding video into a learning management system to marketing information. It may be aggregated content from a conference video, and so on. There are many different kinds of content that get embedded. Our media player is tuned to the needs of the academic and professional space. Accessibility is, at its core, discovery. We do synchronized transcription playback, multi-language support as well.
One of the interesting things that's going on is once you've invested and got yourself to a position of a high quality transcript in English or actually in any language, as long as it's high quality, getting AI to create a translation is getting more easily available. Get a good quality translation. So that videos can be played back with a transcript in multiple languages.
It's an accessible player. As I say, we built it from the start with that in mind. And of course, it's something that's becoming increasingly important as the European Accessibility Act comes into force this year and in the US equivalent legislation next year. The player also features visual table of contents. Great for skimming through to find a specific part of a video, and it also supports chapter ization, which is especially useful in longer form content.
We can Additionally build entire media sites to make new products and new revenue streams, societies and publishers. We have a fair number of those going on now with whether that's longer tends to be longer form video content that's there for education. Finally, we can embed live events into your web pages to more of that later.
Yeah, I'll come to that in a little while. So here's an example of a simple video embedded within an IP video. Sorry IP journal article. Here's the video is an inline part of the article. So I've just scrolled down to through the article to where the video actually exists in this. So again, it's not something that has to sit alongside a journal article, or it can be an integral part of the article.
So the video is in line, but it's being streamed from our servers, basically from an embed code that was exchanged with their host, Silverchair. The videos can easily be the entire article as well, and we are the streaming part for a number of video journals that exist in neurosurgery and other subjects. Our embed is also used in higher education products, including mcgraw-hill's access medicine.
We can equally well bring audio to life podcasts on your website pages. If you like, with all the same accessibility and discovery features. For example, with the search function you can pinpoint and rapidly navigate to the part of an hour long podcast of interest to you very easily.
So here. Here is an example of how the audio player may look. And on this side this is the audio player with an embedded transcript as well. It allows you to skim through it and get to the part of the podcast that you're interested in very quickly. So our live player is embeddable in the same way that our regular media embeds work, which means you can run live events within your own web space, rather than have everyone leave your site to take part in a webinar on Zoom or another platform in some enormous advantages for doing that.
So it's very good for SEO. Google Analytics and other devices are going to spot the fact that a few people just spent an hour on your website. Some users use the same credentials for their webinars as they do for other services you offer. You can tie detailed analytics back to the individual if you wish, because they've logged in on your website to watch to be part of a webinar.
The URL for registration, participation, and playback is the same throughout the process, and the webinar on demand is much more discoverable after the event than it would be languishing in a third party service in an archive that's not designed to be discoverable. So these can be large. We have some webinars going on with several thousand attendees as well. There's a lot of applications for obviously for embedded video.
And even within the journal space, you will have editors discussing an article. Editor in chief may run a webinar or something, or a fireside chat, and it can be embedded at the article level that you can do. Peer review training again maybe an embed that on the journal home page. There's many ways or many places and many use cases for live events.
And it's an area we're seeing a lot of growth in at the moment. I think the other thing that really sets us apart is our deep integrations with your workflow. We plumb our services into your workflows, and we have integrations with, for example, peer review systems to eliminate the movement of large media files to peer reviewers. We can do DIY deposits, journal platforms, we can send the platform the instructions for automatic embeds, or even creating web pages on the site automatically.
We do analytics and advertising and integrations and more. We see many use cases for video, and I plotted these out on some form of a network diagram. Some of them are closer to research publishing up in the top right. Some are closer to meeting the needs of practitioners. And down at the bottom there. And some are for education and training in higher education industry.
We're seeing sponsored webinars, doing embedded within newsletters or other parts of society's website are a growing area as well. And that's the embedding of live live events. So in wrapping up, I'm just going to leave you with a list of our clients. There are a few more recent additions to be announced soon, but in summary, we're here to help you treat video in the same professional way that you would anything else, i.e. to actually publish video.
Thank you very much. And I Thank you everybody. Catwalk media to get in touch with us. Thank you. Thank you Simon. Now our next presenter is Sarah Arbuthnot, chief Commercial Officer of Subaru. Sarah Thank you. Hi, everyone and Thanks SSP and everyone for joining.
And that was great Simon, I've already got lots of questions for you. So there we go. So today the innovations that I'm going to talk about are smart buy buttons and SmartBook flyers, and both directly address some of the biggest challenges in publishing, not just scholarly publishing. Although this is an innovation for Scholarly Publishing, it's about discoverability, engagement, and conversions.
Now that could be sales conversions or for scholarly publisher. Publishing these by buttons aren't just about sales. It's about owning the relationship with readers and controlling the distribution of your content. And of course, ensuring Seamless Access or purchasing experience. So super do for those that don't know us. And I can't see who's in the list.
So we are market leaders in book publishing, in websites and e-commerce. And what's missing here is we also have metadata automation. So everything starts with kind of complete metadata and content. We have over 300 publishing customers. 71 are scholarly academic publishers and University presses.
OK, back to that slide. And here is some of them which you'll recognize and hopefully some are here today. Anyway so smart buy buttons. So what are these. They're they're basically buttons that simplify the path to click Download, purchase, whatever it is as a publisher or an institution you're needing it to do.
And they're allowing your readers to buy either from multiple retailers or libraries or directly from the institutions themselves. It's removing the friction and the loss of sales or the loss of that person. So here, one click purchasing from websites, social channels, digital marketing that perhaps have no existing e-commerce as well.
How many of our scholarly publishers and an academic presses. They have websites which they are revenue generating and they're trying to read. They're trying to sell directly to consumers alongside, you know, very large open access initiatives as well. So sometimes they might have a hybrid model. So these buy buttons also help with that. And from Purdue, our ethos is allow your readers to buy any, any title in any format from anywhere that they are.
And the smart buy buttons were actually awarded an innovations award at the Stationer's company. So they have a warrant. And they've got a warrant for two years in a row for their groundbreaking innovation. And I'm going to cover two ways that you can use them. I'm going to do direct to the consumer. And as I said, a consumer doesn't necessarily have to be sales for a scholarly publisher.
It's, you know, controlling the distribution and the readership and the reader. But you can put these buy buttons that are linking directly to your cart, to your checkout, open access or not anywhere that you want to have. Place your book, your journal, your content. So it's author websites, it's blog posts. It could be an institutional online bookshop, it could be Professor websites, it could be third party websites, other websites, newsletters.
Simon just spoke about the power of newsletters. That's a very high conversion rate for us. And of course book clubs as well, which are very well performing within our academic presses, especially where they're affiliated with institutions. And then, of course review websites and, and online ads and then business to business. These buy buttons are very useful at trade shows for sales catalogs and pre-publication and of course press copy distribution as well.
And they can carry smart QR codes as well. And author events. So how do they drive sales and engagement. So these buttons as I mentioned, simplify the path to click Download purchase because they are getting the reader, the purchaser directly from where they are to the access of that book, that journal, that online book, audio book, whatever it may be, whatever format you're trying to sell or deliver.
So it's that integrated instant purchasing capability. It's also reducing cart abandonment. So if you do do direct sales these buttons are excellent. And in fact, if you look at e-commerce generally, the conversion rate is between 2% to 3% These buy buttons is way over 10% because the purchaser is engaging, and they're making that decision to directly interact with that button to buy or download the increased customer engagement as I just said there as well.
And it's a much better user experience, which of course, as Simon just alluded to, is better for SEO. You get ranked higher on Search engines. I've put this in here, which is from the baymard to Institute about a lengthy check out with too many steps drives almost 1 and 5 customers away from their online shopping carts. So the whole purpose about these buttons is directly from the button to the checkout.
And if you think if you do any kind of retail sales selling directly to readers, think about the last time you bought something online. Was it on your mobile phone? Was it on your laptop? Did you have different ways to pay? How long did it take you and think about an experience that took you too long? Did you just abandoned abandon that final click through and conversion because you didn't have the time?
And often with scholarly publishing, the price points are a little bit higher than maybe some of the other publishers, like trade publishers. So the purchasing decision does take a bit longer, but it's the same premise that you want not too many clicks and not a lengthy checkout, and make it as fast and easy for your readers. And we're seeing some really incredible statistics from the smart buy buttons across the industry.
Generally, cart abandonment rate across all industries is 69.95% It's slightly less in publishing. The smart buy button cart abandonment rate is 26.9% because. And that just shows you how engaging they are because the content that you're putting out there, your purchasers, your readers are directly interacting with that and making a decision to convert and check out whether or not it's open access, free download or not.
We've put this in for. For anyone that is either toying with the idea or does do direct to consumer sales. The buy buttons, as I mentioned, can be used in a ton of places here. We've put in social media. I'm sure everyone here has probably or most people have bought stuff from Instagram.
It's exactly the same idea. So there's a lot of groups, and it'd be great to hear if anyone does anything on Instagram. If you've got kind of book book reviews, peer reviews, special interest groups or anything, and it could be useful for you. Email marketing campaigns, these are hugely successful on this because of course, your marketing departments, your institutions have spent a long time building these communities and probably kind of segmenting them and genre based of newsletter sending out newsletters.
So putting these buy buttons again, directly to a cart or download or audio is a very high converters and then online ads. If you do any online ads either perhaps with partners or in trade magazines or trade sites, they're great to push that as well. And then, of course authors, erythrocytes. The we're seeing really great statistics here and analytics because of the author.
The author helps especially with peer to peer as well helps the reach of that content, of that book, of that periodical, of that journal. So allowing the authors to carry these buy buttons helps the author promote their work, but also helps you as the publisher. Convert And sell. And same with online blogs.
We put this in for side carts as well. So what we like to do at super do is make it as easy as possible for the user, the purchaser, the reader when they're on a website, when they're on, on your content to be able to put something into their shopping cart and check out immediately and see that final cost. So here you can see on the right they've got two books in their cart.
We would have shipping and taxes if we could possibly do that. So they can see what their final, their final Bill will be before they check out. And these buttons carry inventory messaging as well. So if the journal, the publication. The book is not available. It will say unavailable. It could say notify me. It could say out of stock.
It could say in stock at a third party retailer or muse or jstor or it can have multiple messaging. And then I'm going to go to the second one of our converters and discoverability converters as well. Smart book flyers. So these and I think a lot of our academic publishers call these AI sheets typically.
So these are sheets to promote book titles. And these are automatically generated PDF flyers. People like Edelweiss do this books I think a lot of title management systems do it as well. But these book flyers carry QR codes, where you can also have a buy button and obviously additional information in there as well. And they promote new releases and backlist titles if that's what you're needing.
And the scannable QR code is instant results. And these are great for events and trade shows when sales reps are out and about. If anyone's doing any signings within any bookstores, then they're to convert interest either into a sign up to help build that community or into a sale if you're doing direct to consumer sales. So here we have different ones for book flyers for publishers and book flyers for authors.
And you can do discount options. A lot some of our business publishers where the professor may do this. And that. If they're taking a class, the students will get access for free, but everyone else in the institution will be a paid for model. So again, it's going towards the hybrid option. And that's it from me from Purdue.
And I welcome any questions. Thank you, Sarah. Now we've got a short amount of time to answer some questions. I encourage anyone or everyone to include their questions and the AMP, a section of Zoom, or Alternatively, well, let us know somehow so that we can get it up there. We do have one that's been posted. I believe this is for Kristen.
Does author check Allow for searching by email? So I thought this maybe wasn't for me, but for. About the author. Check in dimensions. Oh, apologies. Yep I think that's for me. It doesn't. Although we do have a sort of translative program in place that can take an email address and interpret sort of disambiguated name and institutional affiliation.
So there's sort of a workaround to it instead of just natively speaking just because we don't want to involve publicly or proprietary information. Great Thank you. Any other questions from the group? The attendees. Doesn't look like you have. I know Sarah, you had mentioned you had you had a question when you started.
Do you happen to have something or sorry to put you on the spot? No, I've got 100 for Simon, actually. So a lot of what we do well, what we're trying to do, we do do it with some of our academic publishers, our chapter sales, where we do two things. It's read while you wait, and chapter sales. But some of the academic content they have, I think, would work really well in audio. And we have a lot of educational publishers as well, where they sell online courses and elements, but they don't have samples or snippets like you would with a book.
So I'm just wondering, would your events module be useful? Yeah, I mean, that's I mean that's very interesting. Yeah I mean, we do actually have a client right now that's experimenting with text to speech conversions for some of their, not their journal articles yet, but their news articles, news, their News Channel. So that they can create mini podcasts from there. There content. So yes, that would then be a great example of something you could by the drink.
Yeah Thank you. So, Simon, I got AI have one for you or actually I have two for you. And then we can move it around. Kind of just a wild question. How are you or do you see your player being complimentary or competitive to the likes of youtube? It's just completely something else.
So it's not so much the player, although the player has been clearly configured to be just part of the our ecosystem and, and deliver the kinds of things we want, and it's very strong and accessibility, but it's actually all the stuff that goes on behind the scenes. The fact that you can register your video to give it a Doi, for example, that, you know, and all of those things that you would expect, you can have multiple you can apply a taxonomy to your video collection, and then you can browse through that taxonomy in various implementations.
So there's a whole load of things really. They're really not like for like one is to an extent a toolkit. And really it's a place to post your stuff. And what we do is provide you with an environment in which to publish your stuff. Really right. And so, you know, that leads to my next question, which is about discoverability. You mentioned that.
And in this day and age of robust content creation, what's your opinion of, of, you know, discoverability because we're being inundated with content from all over. Yeah so I mean, video is interesting in itself because a lot of the search engines really like indexing video. We by publishing video on a society's own site or in one of our collections.
We're obviously able to promote the transcript itself. So that you can do a full text search on the video. And the great advantage of that is you can land at the point of interest in a video, which is brilliant for long form content. If you're faced with a podcast, which is an hour long, but you've been told by a friend there's something in there they should listen to, they can find that segment really quickly so you can expose that information to search engines.
You can really enhance the discoverability of the video. And most importantly, you can convert long form video effectively into something you would listen to sequentially, to something you would access as if it was a reference piece, and just dive into the bits you want when you want them. Thank you. Moving on. So I don't see any other questions.
So I'm going to keep the floor a little bit. But please, I encourage anyone to post their questions. But one for Tyler. You know the product. You know I, I have a special interest in artificial intelligence and AI. Is you know, what is it? You mentioned the algorithm. You mentioned there's a human component.
Like what is that mix? And, you know, what are you finding in terms of the reliability of the algorithm versus humans? That's that's a great question. So our I think our algorithm I wouldn't necessarily classify as artificial intelligence. It's really just a sort of calculation based algorithm that's looking for indicators that could say, you know, this is just something that should be potentially flagged for analysis.
And so what we've tried to design is just a way for people to be able to, to have an indicator of, you know, further sort of due diligence. So it's a little bit less. It's about artificial intelligence and more about indicators that aren't clear and obvious to anybody that might be looking at data to give them just a head start as to look at things.
That's great. Any other panelists have any other questions for each other? Nope well, we've hit 12 on the nose Eastern time here. So with that, I want to thank our panelists and all of you to join for joining us today. We want your feedback. Please consider completing the session evaluation form. And as a reminder, a recording of today's session will be posted in on demand library in just a few days.
And with that, this concludes today's session. Thank you very much. And I see on the screen apologies before we stop. Don't forget the always great and SSP annual meeting happening may 28th to 30th near me here in Baltimore, Maryland in the United States. So with that, Thank you all very much. Bye bye. Thank you.
Thank you. Thank you. Thank you. Susan OK. I think she's here somewhere. Turn off the recording. I'm here. Yeah hey.
Just a real quick. Just how is that? OK? it's still recording. Is it? Yeah I don't think so.
Segment:0 .
Don't forget to record. Thanks, Steve.
All right. It's 11:00, so why don't we just get started? Thank you all. And welcome to today's SSP innovation showcase, where we introduce new and exciting innovations in our industry all each and hopefully about 10 minutes or less. I'm Dave Myers, CEO of data licensing alliance and member of the SSP education committee.
Before we get started, I have just a few housekeeping items to review. Attendee microphones have been muted automatically. Please use the Q&A feature in Zoom to enter questions for moderators and panelists. You should be able to find it right at the bottom of your Zoom screen. You can also use the chat feature to communicate directly with each other and with the participants and us as organizers.
Closed captions have been enabled to turn on captions. Select the CC button on your Zoom toolbar as well. This one hour session will be recorded and available to all following today's events. Registered attendees will be sent an email when the recording is available. Folks who didn't register will still be able to access free of charge in the SSPS on demand library. A quick note on SSPS code of conduct and today's meeting.
We are committed to diversity, equity and providing inclusive meeting environment that fosters open dialogue and a free expression of ideas free of harassment, discrimination and hostile conduct. We ask all participants, whether speaking or in a chat, to consider and debate relevant viewpoints in an orderly, respectful and fair manner. So about today's webinar. Today's showcase will feature five companies who will present for again, hopefully about 10 minutes.
Presenting companies include Wiley, partner solutions, Digital Science, pro, fee, cadmore, and scooby-doo. After all presentations are complete, participants can ask questions. Please use the Q&A box and I'll direct it to the appropriate panelist. You can also ask questions in the chat, and panelists colleagues may answer in real time. We will also provide a QR code that you can scan for more information.
And with that, now I'm pleased to introduce our first panelist, Kristen McNeilly. Vice President, product management, Wiley partner solutions. Kristen Hello today. Thank you so much, everyone for joining. And Thank you to SSP for having me. I am Kristen McNeilly. I'm the VP of product management at Wiley, and I'm very excited to tell you a lot today about our research exchange platform.
So what is research exchange? Research exchange is a modular harmonized submission, screening and peer review platform that unifies publication workflows. It improves our author experience for researchers who are submitting their research for consideration, and it gives editorial teams smart tools that allow for greater focus on submission, quality, and growth in their publications.
You'll see that there is a quick poll that popped up on the screen, so please feel free to take that and contribute to what things you are sort of the most concerned about in the academic research marketplace. So research exchange as I mentioned, has these three different components submission, screening and review. Our submission component is really providing an exceptional author experience.
And we use AI powered data transformation to revolutionize the submission process. So that authors can upload their manuscript, and we extract all of the key information and metadata points to help build out a robust profile of the submission information using industry standard persistent identifiers and providing authors with a really streamlined and fast submission experience where they only need to provide information just in time to help guide their submission through to the editorial office.
This platform also provides powerful insights and metrics to enable effortless journal transfers between journals. So if authors are not successful in their first journal of choice within this platform, we also seamlessly offer other opportunities for them to submit their research to other journals that are found within a set of transfer networks. So the first screen that was there, we sometimes have little videos, but I know that that's tricky to do.
So we the first screen was really just the sort of author dashboard. And then as authors kind of proceed into their submission, they're guided through the experience with a progress bar on the right hand side that allows them to select information and provide additional pieces of metadata as they come through. Our next component piece is for internal administrative users in research exchange screening.
This allows editorial offices to use multi signal detection. We have at this point plugged in about 27 different integrated checks that are alongside a lot of industry standard integrations to help preserve the credibility of scientific publication. We're very concerned at Wiley about providing the academic research market with specific tools that they can use to really help preserve integrity and quality, and providing those tools for screening within the workflow itself to make it easy to use.
We also provide cross portfolio of reporting and network analysis, as well as intuitive team management and subject matter escalation routes. So if a screener sees something in their dashboard that is concerning to them, and they would like to escalate it for further analysis by a research integrity team, those articles quickly find their way through to the right individuals who can help provide guidance about appropriate next steps, and also return sometimes that draft back to authors in a back and forth communication so that they can help refine the information that's under question.
We've really been on this journey of moving from a sort of being very reactive to integrity concerns, to taking a proactive approach. And this tool and research exchange screening has been integral in our ability to do that. At Wiley, we've got solutions that empower publishers, research funders and institutions to be able to elevate their standards of research integrity and to help preserve trustworthiness in the research publication market.
We've got solutions that foster a culture of continuous innovation and optimization, using data to help us rapidly respond to evolving needs and threats in the research landscape. It really is an ever evolving landscape where we want to be continuously looking out for the best tools that we can plug-in. We're also moving away from looking at a journal article as just a kind of standalone individual object, but instead look at it and its surrounding artifacts as a larger part of a research network of activity from which we can draw insights about a researcher, their collaborators and the quality of the research that they're presenting for consideration.
This platform delivers clear, interpretable and transparent narratives for users to make accurate and more confident and quick assessments and escalations. You can also read more about our efforts in this space through an excellent white paper of upholding research integrity in the age of AI, written by a number of Wiley colleagues.
Research integrity exchange screening again provides a workflow with 27 plus. We're continuously kind of expanding out various different tools to plug into the researcher workflow to recognize research misconduct, paper mill activity, and low quality content that's presented in context for administrators to help unpick complex narratives and smart and actionable ways.
We are fully integrated with the Wiley paper mill detection tool, including paper mill similarity detection, a problematic phrase detection, unusual publication behavior detection, generative AI generated content detection, scope match analysis, and more. And we're directly integrated with trusted industry standard third parties included ORCID, raw, ithenticate, publons, and STM hub. We provide a fully aligned and integrated experience with submission and peer review workflows at multiple touch points, and we're currently running this on over 500 of our journals.
We're processing about 10,000 plus submissions that get screened per month through our set of 27 plus checks, and about 10% of papers at this point are getting flagged for further review and analysis by our editorial teams. And coming soon. We're excited to be presenting research exchange review, which is a smart peer review management tool that serves authors, editors and reviewers.
This piece represents the kind of final components of our streamlined and output driven system, where editors can very quickly see all pertinent information about a particular manuscript and invite editorial board members to act as associate or handling editors. And those invited editors will receive automatic communications and reminders through their email, and also be able to use our AI powered tools for reviewer suggestions.
In addition to searching their own database of reviewers, where we also populate really up to the minute information about the availability of reviewers and scope matching of reviewers expertise to help editors easily select and find the most appropriate reviewers for a particular manuscript. We're very excited about this whole suite of tools that are really plugged in a modular way. And research, exchange, submission, screening and review.
Please feel free to reach out to us and get in touch for more information at any time. Thank you so much for your attention today. Dave, you were just muted.
Apologies I was muted. Thank you Kristen. Our next presenter is Tyler ruse Roos, director, publisher solutions, Digital Science. Thanks, Dave. I appreciate the introduction and Thanks, everyone, for joining again today.
I'm Tyler Roos. I work for Digital Science, and I'll be talking today about one of our latest launches which is the dimensions author. Check so. There we go. So today we'll be talking about dimensions. Author check.
It's the latest tool from Digital Science that really Kirsten sort of teed this up really nicely, which is this is a tool from Digital Science, which is meant to help publishers focus on issues around research integrity. And it's meant to be in workflow. And so we'll talk a little bit in more detail about what it is and how it fits in.
So for those who might not know, Digital Science is a company that invests in and supports software companies across the research landscape Among these are platforms that are very embedded in scholarly publishing, so ones that you might have heard of, such as figshare, altmetric, and dimensions. Digital science continues to develop these companies as well as invest in New innovations. We've recently announced awarding our catalyst grant to two teams, who will be using funding and mentorship from Digital Science to develop new capabilities for researchers and publishers.
So always trying to stay at the very front end of innovations and sort of and providing structure around how to develop new, new capabilities. But along the same lines, we continue to extend and add value to our existing platforms, which today we'll be talking about the dimensions author check dashboard, which is an extension of the dimensions platform. So the author check application itself is an extension of the core dimensions analytics platform.
For those of you who know dimensions or use dimensions, it is a platform that is a super database that contains information from publications and Grant grants data and patents, data, et cetera where you can really do some really interesting analytics around publication activity. And to extend upon that, we've been able to develop dimensions author check, which is an application that focuses on providing key insights on authorship to help publishers identify potential issues at the time of submission and editorial review well ahead of acceptance, peer review and publication.
So really, again, sort of getting in front of potential issues. The overarching goal is to improve the quality of the scholarly record, of course, but also to protect publishers brand and reputation as producers of high quality research that's critical to the community. Dimensions authorship is intuitive and easy to use. It surfaces authorship issues by presenting a researcher profiles that include risk indicators, including flagged publications, co-authorship network issues, and publication history.
So there are two prongs to dimensions. Author check that make it such a unique tool. The first we'll talk about today is data. To start with, dimensions, author check leverages more than 151 million publication records and more than 35 million distinct author profiles from dimensions. The background work of disambiguation and network analysis is done using that baseline, which then provides a foundation of authorship and publication history for author check itself.
In addition to that data, and specifically available in author check is a very large data set of what we call atypical events. So these include things like retraction notices and expressions of concern. We pull those from sources like crossref, Retraction Watch, PubMed, and even dimensions, which is analyzing publications data all the time. And then, of course, we also have alerts from the problematic Paper Screener.
This includes information around papers with tortured phrases and papers that cite hijacked journals, so the data is curated and matched to the publication and author profiles. And we then refer to these as flagged papers. So just papers that might have an area of interest or concern for those that are looking at authorship for submitted papers. This universe of data is unique and in aggregate, an important set of information that enables identifying problems from previously published papers.
We spend a lot of energy building a data pipeline to manage the complexities of this data and its various data sources, and linking all of that data to publication records and authorship history. So there's a very clear picture of authors that have published papers in the past that might have some concern. So the second prong that makes dimensions authors so useful is actually a proprietary algorithm developed by Leslie Mackintosh and Simon Porter, who are two members of the Digital Science thought leadership team.
This algorithm, which they outline in detail in a publication in scientific reports, creates a method to surface and calculate the risk of an author on any given submission using several factors. These factors power what we call the network flag. So you've got a paper flag and a network flag. An author check that can highlight potential bad actors. So the activity that we're monitoring here in this algorithm includes unusual collaboration, network properties, highly prolific authorship of large volumes of publications in given years, early career roles as authors and early career authors as co-authors, and then being part of a network with other authors with those risk characteristics.
So if you'd like to learn more about that paper, I've linked to it here, but we can certainly send out a link afterwards. It's a really interesting algorithm, really developed to understand authorship network and how that might introduce potential problems for those individual authors themselves. So after the development and implementation of that algorithm, we did a little bit of analysis to serve as a proof point for us to make sure that the algorithm did what we wanted it to do, and it didn't overcorrect or over analyze data.
So this was done last September, and we found that in 2024, 50% of authors that had a network flag based on our algorithm also had a paper with one of the atypical events I mentioned earlier, such as a retraction. And 95% of the authors with that network flag have at least one co-author with a flagged paper. So this compared to less than 1% of all authorship in 2024, and 8% of all co-authorship in 2024.
So our conclusion here was that an author with a network flag and dimensions, author check is not guaranteed to be a bad actor, but certainly more likely to be and worthy of further diligence as a submitting author. So our analysis also showed that an author with a network flag is approximately 100 more times likely to have a flagged paper. So, as I mentioned, dimensions author check is designed to be a very intuitive dashboard that leverages the data and techniques and methodology that we've created in a standard editorial workflow.
As a user, I can simply search for a given author using our disambiguated researcher data or a standard person identifier such as orcid, and then I can use that while reviewing a submission. This will lead me directly to a detailed profile on that author, and that profile will have relevant data surface quickly, and that indicates whether further discovery and investigation would be advantageous. So this includes whether the author has one or more flagged papers, that's a paper that has a retraction or a notice of potentially tortured phrase.
And so in addition to that, it also has the information on whether the author has a network flag, whether it was caught in our algorithm to say, this potential author is part of a network that should be worthy of further consideration. And we also look at things like the volume of publication. My example here shows that the author I'm reviewing has 11 flagged publications out of 149 total. That's 7% of their total publications have some sort of issue.
And then it's also there also in the top 2% of authorship volume, they also carry the network flag. So this is certainly one I would want to dig into a little bit further and understand what the issues were here around this particular author from this high level profile. Then I can quickly dive into the detailed issues around flagged publications, including looking at the reason for retraction. So I think that's a pretty key item doesn't necessarily rule anybody out that they've had a retracted paper in the past.
But let's take a look at that, the sort of universe of that and understand why they were they might have had a retraction in the past. We also include detailed information from the problematic Paper Screener, as well as data to explore their co-authorship network and review anomalies which might have raised them up to have the network flagged. All of the information and dimensions author check is interactive, with links out to additional resources.
So if you see a potential paper and you want to dive in a little bit more into the background of that, you can link out directly to other resources. So in this way, dimensions author check is giving publishers more information about risk with authors based on flagged papers and flagged networks, but giving you the tools to then analyze that risk and understand if that's just part of a normal career path, or if that's something you really want to take into consideration based on that particular submission.
So one of our driving mission statements when we designed dimensions author check was, you know, we believe that with the help of an intuitive dashboard, publishers can gain transparency and confidence around protecting their publishing reputation and also at the same time, upholding ethical standards. So thank you very much.
I really appreciate your time and attention. My contact information is here. If anybody wants to reach out, see a live demonstration of how dimensions author check works. And then also I've got a QR code here on the bottom right that links out to the dimensions author. Check website for more detailed information, including a press release around our first customer that launched, which is sage publications that launched late in 2024.
So thank you again very much. Fantastic Thank you Tyler. Our next presenter is Oleg hrushevsky, CEO of profi. OK Hello, everyone. I'm excited to present to you profi a peer review finding solution. And to tell you a little bit about the challenges that we are facing and how we approach them.
To begin with I, the poet? I want you to answer. The poet just surfaced on top of this, of this presentation. So which which reflects one of the major challenges, or at least, least some of the major challenges that people usually face when they try to think about peer review. So while you are answering this poll, let me start speaking. So that's a huge number.
And that's not just a number. It's a background for the analysis, which makes us sure that the work we are doing, the solutions that we present is actually trustworthy and is actually doing the right credit to the scientific research itself. Scientific research in the past 20 years or so has quadrupled in volume. That's unprecedented growth.
And if you look today at the volume of the published papers, not even not even thinking about unpublished manuscripts, you will see that the number of publications such that all the scientists who are active today have to be involved in some sort of peer review. This is, however, not the case because majority of people who are active today scientists are young scientists around the PhD, time prep, pre PhD, maybe some somewhere post PhD, which in most of the subjects is not enough to qualify as experts.
And this means that resource that we are using, namely expertise of people has to be used very, very wisely because it's actually a scarce resource. There are not so many experts and their time is valuable. It used to be a very simple case when the science was a true peer to peer endeavor, and these were the peer review gets their name. At that time, every scientist knew each other, if not directly, then through one handshake and then the things really worked in that ad hoc manner today we are not at this by no means we are at the same situation.
I don't know most of the scientists who work in my domain. So reputation mechanism, which used to be the drivers, don't work anymore. So networks fail. And we understand this and we understand the pressure, the importance of this resource. And that is why we essentially created a structural and systematic way to discover peer reviewers.
What profit does. That's a database, a profit knowledge base, which contains impressive number of both publications and author profiles. But what makes us truly unique are not these numbers. It's rather the layers of technology which lie behind. First of all, there is a layer of semantic technology. We understand the meaning of every publication that is that's present in our database.
On top of that, there is an eye level where we understand relations between different meanings, between different documents, between documents and people. And this leads us to the third layer, which is layer of semantic matching. What? semantic matching is an algorithm which allows you, for any given manuscript, any given document actually to find in real time, on demand, very precisely, experts on who could work as experts on this manuscript.
There are two things which are important about this solutions. One is depth and another one is dynamics. The level of annotation is very deep. It's not keyword based. It's not subject class based. We go much deeper than this paper from a given subject. This is expert from the given subject. We go really as deep as the research topics can specialize. That's the core of our semantic technology.
On top of that, we keep digesting in real time the data of new publications that become available, and this data propagates both into the semantic annotation of the papers and to the expertise profiles of the authors. And all this together allows us to tackle the main challenge, which all of you have indicated by a large majority finding relevant experts quickly. The algorithm works in such a way that, as I said, you upload the PDF or press the button in your interface.
If it's API connected and you receive back a list of relevant people 50, hundreds, 200. One of the important things to understand is that there is no such thing as a unique best reviewer. These people are usually in 100 if not thousands. And then it's up to you, the end user, the editor, to make a decision who of this particular scope of people would be your best match and so that's this.
This has always been our kind of motto, even before the large language models came to be. And our knowledge is actually pre LWM here. So it works on a different principles. And idea was we provide for you the information. We provide the assistance with the system. You, the human, the user make a decision because as, as in this case, I have to repeat myself. There is such thing as unique.
Best solution. There are many of those and that's important. So find the reviewers quickly, even for very niche areas. I should say that the market, the results of the poll which you just seen are not surprising because actually there is a bit of a lot of demand in the market for this. We have been in the we have been working for more than seven years in the market. And we have 50 plus organizations which work with us.
We work with large number of top academic publishers and with many society publishers, small journals. They are very diverse in this sense, and we try to accommodate anybody who needs our services. Along with publishing peer review, we also do peer reviewing for grant applications, which essentially shares the same kind of challenges and the same kind of needs. And in the last year, with the help of the prof solutions, more than $10 billion have been distributed in the forms of grants.
And we consider this a big impact of our research. So with this kind of overview in mind, I'm happy to invite any one of you who wants to know more about profit to contact me to reach out to prof. And we will be happy to show you how the system works, offer you to try the system and maybe welcome you as our clients. So thank you.
Thank you Oleg. Now our fourth presenter, Simon anger, chief revenue officer and co-founder of cadmore media. Simon Hi there. Yes, Hi. Thank you. David, Thanks for the introduction. I'm Simon anger.
I'm chief revenue officer and co-founder at cadmore media. Let me just put that up. Yep the cadmore was created to provide hosting and streaming services for video and audio for the academic and professional space. We recognize that societies and publishers have different needs in video than mass market solutions can offer. Metadata, workflow.
Permanence, preservation, and actually very importantly, maintaining control over your own content. Not letting it out into the wild. So in short, what we do is we help publish video rather than merely posting it online. All of our services that we provide include the provision of a media manager. It's a workflow tool, a content management system, and the place to organize all of your media.
And it's important to know that we're not talking about just the media that's going into journals or anything else. It may be all of your media, whether it's heading for marketing, whether it's part of learning all the different applications that you may have. The concept is to have a single place that manages and streams all your media, wherever you end up having it embedded.
A lot of our business is based around the media embed product that we have, which allows clients to embed video into any web page they control, and in the journal space, that tends to mean one of the major platform providers. Atypon Silverchair. Pub factory. Highwire we have interfaces with all of those organizations. So that content can be published directly into an article from our platform, outside of the journal space.
That may mean embedding video into a learning management system to marketing information. It may be aggregated content from a conference video, and so on. There are many different kinds of content that get embedded. Our media player is tuned to the needs of the academic and professional space. Accessibility is, at its core, discovery. We do synchronized transcription playback, multi-language support as well.
One of the interesting things that's going on is once you've invested and got yourself to a position of a high quality transcript in English or actually in any language, as long as it's high quality, getting AI to create a translation is getting more easily available. Get a good quality translation. So that videos can be played back with a transcript in multiple languages.
It's an accessible player. As I say, we built it from the start with that in mind. And of course, it's something that's becoming increasingly important as the European Accessibility Act comes into force this year and in the US equivalent legislation next year. The player also features visual table of contents. Great for skimming through to find a specific part of a video, and it also supports chapter ization, which is especially useful in longer form content.
We can Additionally build entire media sites to make new products and new revenue streams, societies and publishers. We have a fair number of those going on now with whether that's longer tends to be longer form video content that's there for education. Finally, we can embed live events into your web pages to more of that later.
Yeah, I'll come to that in a little while. So here's an example of a simple video embedded within an IP video. Sorry IP journal article. Here's the video is an inline part of the article. So I've just scrolled down to through the article to where the video actually exists in this. So again, it's not something that has to sit alongside a journal article, or it can be an integral part of the article.
So the video is in line, but it's being streamed from our servers, basically from an embed code that was exchanged with their host, Silverchair. The videos can easily be the entire article as well, and we are the streaming part for a number of video journals that exist in neurosurgery and other subjects. Our embed is also used in higher education products, including mcgraw-hill's access medicine.
We can equally well bring audio to life podcasts on your website pages. If you like, with all the same accessibility and discovery features. For example, with the search function you can pinpoint and rapidly navigate to the part of an hour long podcast of interest to you very easily.
So here. Here is an example of how the audio player may look. And on this side this is the audio player with an embedded transcript as well. It allows you to skim through it and get to the part of the podcast that you're interested in very quickly. So our live player is embeddable in the same way that our regular media embeds work, which means you can run live events within your own web space, rather than have everyone leave your site to take part in a webinar on Zoom or another platform in some enormous advantages for doing that.
So it's very good for SEO. Google Analytics and other devices are going to spot the fact that a few people just spent an hour on your website. Some users use the same credentials for their webinars as they do for other services you offer. You can tie detailed analytics back to the individual if you wish, because they've logged in on your website to watch to be part of a webinar.
The URL for registration, participation, and playback is the same throughout the process, and the webinar on demand is much more discoverable after the event than it would be languishing in a third party service in an archive that's not designed to be discoverable. So these can be large. We have some webinars going on with several thousand attendees as well. There's a lot of applications for obviously for embedded video.
And even within the journal space, you will have editors discussing an article. Editor in chief may run a webinar or something, or a fireside chat, and it can be embedded at the article level that you can do. Peer review training again maybe an embed that on the journal home page. There's many ways or many places and many use cases for live events.
And it's an area we're seeing a lot of growth in at the moment. I think the other thing that really sets us apart is our deep integrations with your workflow. We plumb our services into your workflows, and we have integrations with, for example, peer review systems to eliminate the movement of large media files to peer reviewers. We can do DIY deposits, journal platforms, we can send the platform the instructions for automatic embeds, or even creating web pages on the site automatically.
We do analytics and advertising and integrations and more. We see many use cases for video, and I plotted these out on some form of a network diagram. Some of them are closer to research publishing up in the top right. Some are closer to meeting the needs of practitioners. And down at the bottom there. And some are for education and training in higher education industry.
We're seeing sponsored webinars, doing embedded within newsletters or other parts of society's website are a growing area as well. And that's the embedding of live live events. So in wrapping up, I'm just going to leave you with a list of our clients. There are a few more recent additions to be announced soon, but in summary, we're here to help you treat video in the same professional way that you would anything else, i.e. to actually publish video.
Thank you very much. And I Thank you everybody. Catwalk media to get in touch with us. Thank you. Thank you Simon. Now our next presenter is Sarah Arbuthnot, chief Commercial Officer of Subaru. Sarah Thank you. Hi, everyone and Thanks SSP and everyone for joining.
And that was great Simon, I've already got lots of questions for you. So there we go. So today the innovations that I'm going to talk about are smart buy buttons and SmartBook flyers, and both directly address some of the biggest challenges in publishing, not just scholarly publishing. Although this is an innovation for Scholarly Publishing, it's about discoverability, engagement, and conversions.
Now that could be sales conversions or for scholarly publisher. Publishing these by buttons aren't just about sales. It's about owning the relationship with readers and controlling the distribution of your content. And of course, ensuring Seamless Access or purchasing experience. So super do for those that don't know us. And I can't see who's in the list.
So we are market leaders in book publishing, in websites and e-commerce. And what's missing here is we also have metadata automation. So everything starts with kind of complete metadata and content. We have over 300 publishing customers. 71 are scholarly academic publishers and University presses.
OK, back to that slide. And here is some of them which you'll recognize and hopefully some are here today. Anyway so smart buy buttons. So what are these. They're they're basically buttons that simplify the path to click Download, purchase, whatever it is as a publisher or an institution you're needing it to do.
And they're allowing your readers to buy either from multiple retailers or libraries or directly from the institutions themselves. It's removing the friction and the loss of sales or the loss of that person. So here, one click purchasing from websites, social channels, digital marketing that perhaps have no existing e-commerce as well.
How many of our scholarly publishers and an academic presses. They have websites which they are revenue generating and they're trying to read. They're trying to sell directly to consumers alongside, you know, very large open access initiatives as well. So sometimes they might have a hybrid model. So these buy buttons also help with that. And from Purdue, our ethos is allow your readers to buy any, any title in any format from anywhere that they are.
And the smart buy buttons were actually awarded an innovations award at the Stationer's company. So they have a warrant. And they've got a warrant for two years in a row for their groundbreaking innovation. And I'm going to cover two ways that you can use them. I'm going to do direct to the consumer. And as I said, a consumer doesn't necessarily have to be sales for a scholarly publisher.
It's, you know, controlling the distribution and the readership and the reader. But you can put these buy buttons that are linking directly to your cart, to your checkout, open access or not anywhere that you want to have. Place your book, your journal, your content. So it's author websites, it's blog posts. It could be an institutional online bookshop, it could be Professor websites, it could be third party websites, other websites, newsletters.
Simon just spoke about the power of newsletters. That's a very high conversion rate for us. And of course book clubs as well, which are very well performing within our academic presses, especially where they're affiliated with institutions. And then, of course review websites and, and online ads and then business to business. These buy buttons are very useful at trade shows for sales catalogs and pre-publication and of course press copy distribution as well.
And they can carry smart QR codes as well. And author events. So how do they drive sales and engagement. So these buttons as I mentioned, simplify the path to click Download purchase because they are getting the reader, the purchaser directly from where they are to the access of that book, that journal, that online book, audio book, whatever it may be, whatever format you're trying to sell or deliver.
So it's that integrated instant purchasing capability. It's also reducing cart abandonment. So if you do do direct sales these buttons are excellent. And in fact, if you look at e-commerce generally, the conversion rate is between 2% to 3% These buy buttons is way over 10% because the purchaser is engaging, and they're making that decision to directly interact with that button to buy or download the increased customer engagement as I just said there as well.
And it's a much better user experience, which of course, as Simon just alluded to, is better for SEO. You get ranked higher on Search engines. I've put this in here, which is from the baymard to Institute about a lengthy check out with too many steps drives almost 1 and 5 customers away from their online shopping carts. So the whole purpose about these buttons is directly from the button to the checkout.
And if you think if you do any kind of retail sales selling directly to readers, think about the last time you bought something online. Was it on your mobile phone? Was it on your laptop? Did you have different ways to pay? How long did it take you and think about an experience that took you too long? Did you just abandoned abandon that final click through and conversion because you didn't have the time?
And often with scholarly publishing, the price points are a little bit higher than maybe some of the other publishers, like trade publishers. So the purchasing decision does take a bit longer, but it's the same premise that you want not too many clicks and not a lengthy checkout, and make it as fast and easy for your readers. And we're seeing some really incredible statistics from the smart buy buttons across the industry.
Generally, cart abandonment rate across all industries is 69.95% It's slightly less in publishing. The smart buy button cart abandonment rate is 26.9% because. And that just shows you how engaging they are because the content that you're putting out there, your purchasers, your readers are directly interacting with that and making a decision to convert and check out whether or not it's open access, free download or not.
We've put this in for. For anyone that is either toying with the idea or does do direct to consumer sales. The buy buttons, as I mentioned, can be used in a ton of places here. We've put in social media. I'm sure everyone here has probably or most people have bought stuff from Instagram.
It's exactly the same idea. So there's a lot of groups, and it'd be great to hear if anyone does anything on Instagram. If you've got kind of book book reviews, peer reviews, special interest groups or anything, and it could be useful for you. Email marketing campaigns, these are hugely successful on this because of course, your marketing departments, your institutions have spent a long time building these communities and probably kind of segmenting them and genre based of newsletter sending out newsletters.
So putting these buy buttons again, directly to a cart or download or audio is a very high converters and then online ads. If you do any online ads either perhaps with partners or in trade magazines or trade sites, they're great to push that as well. And then, of course authors, erythrocytes. The we're seeing really great statistics here and analytics because of the author.
The author helps especially with peer to peer as well helps the reach of that content, of that book, of that periodical, of that journal. So allowing the authors to carry these buy buttons helps the author promote their work, but also helps you as the publisher. Convert And sell. And same with online blogs.
We put this in for side carts as well. So what we like to do at super do is make it as easy as possible for the user, the purchaser, the reader when they're on a website, when they're on, on your content to be able to put something into their shopping cart and check out immediately and see that final cost. So here you can see on the right they've got two books in their cart.
We would have shipping and taxes if we could possibly do that. So they can see what their final, their final Bill will be before they check out. And these buttons carry inventory messaging as well. So if the journal, the publication. The book is not available. It will say unavailable. It could say notify me. It could say out of stock.
It could say in stock at a third party retailer or muse or jstor or it can have multiple messaging. And then I'm going to go to the second one of our converters and discoverability converters as well. Smart book flyers. So these and I think a lot of our academic publishers call these AI sheets typically.
So these are sheets to promote book titles. And these are automatically generated PDF flyers. People like Edelweiss do this books I think a lot of title management systems do it as well. But these book flyers carry QR codes, where you can also have a buy button and obviously additional information in there as well. And they promote new releases and backlist titles if that's what you're needing.
And the scannable QR code is instant results. And these are great for events and trade shows when sales reps are out and about. If anyone's doing any signings within any bookstores, then they're to convert interest either into a sign up to help build that community or into a sale if you're doing direct to consumer sales. So here we have different ones for book flyers for publishers and book flyers for authors.
And you can do discount options. A lot some of our business publishers where the professor may do this. And that. If they're taking a class, the students will get access for free, but everyone else in the institution will be a paid for model. So again, it's going towards the hybrid option. And that's it from me from Purdue.
And I welcome any questions. Thank you, Sarah. Now we've got a short amount of time to answer some questions. I encourage anyone or everyone to include their questions and the AMP, a section of Zoom, or Alternatively, well, let us know somehow so that we can get it up there. We do have one that's been posted. I believe this is for Kristen.
Does author check Allow for searching by email? So I thought this maybe wasn't for me, but for. About the author. Check in dimensions. Oh, apologies. Yep I think that's for me. It doesn't. Although we do have a sort of translative program in place that can take an email address and interpret sort of disambiguated name and institutional affiliation.
So there's sort of a workaround to it instead of just natively speaking just because we don't want to involve publicly or proprietary information. Great Thank you. Any other questions from the group? The attendees. Doesn't look like you have. I know Sarah, you had mentioned you had you had a question when you started.
Do you happen to have something or sorry to put you on the spot? No, I've got 100 for Simon, actually. So a lot of what we do well, what we're trying to do, we do do it with some of our academic publishers, our chapter sales, where we do two things. It's read while you wait, and chapter sales. But some of the academic content they have, I think, would work really well in audio. And we have a lot of educational publishers as well, where they sell online courses and elements, but they don't have samples or snippets like you would with a book.
So I'm just wondering, would your events module be useful? Yeah, I mean, that's I mean that's very interesting. Yeah I mean, we do actually have a client right now that's experimenting with text to speech conversions for some of their, not their journal articles yet, but their news articles, news, their News Channel. So that they can create mini podcasts from there. There content. So yes, that would then be a great example of something you could by the drink.
Yeah Thank you. So, Simon, I got AI have one for you or actually I have two for you. And then we can move it around. Kind of just a wild question. How are you or do you see your player being complimentary or competitive to the likes of youtube? It's just completely something else.
So it's not so much the player, although the player has been clearly configured to be just part of the our ecosystem and, and deliver the kinds of things we want, and it's very strong and accessibility, but it's actually all the stuff that goes on behind the scenes. The fact that you can register your video to give it a Doi, for example, that, you know, and all of those things that you would expect, you can have multiple you can apply a taxonomy to your video collection, and then you can browse through that taxonomy in various implementations.
So there's a whole load of things really. They're really not like for like one is to an extent a toolkit. And really it's a place to post your stuff. And what we do is provide you with an environment in which to publish your stuff. Really right. And so, you know, that leads to my next question, which is about discoverability. You mentioned that.
And in this day and age of robust content creation, what's your opinion of, of, you know, discoverability because we're being inundated with content from all over. Yeah so I mean, video is interesting in itself because a lot of the search engines really like indexing video. We by publishing video on a society's own site or in one of our collections.
We're obviously able to promote the transcript itself. So that you can do a full text search on the video. And the great advantage of that is you can land at the point of interest in a video, which is brilliant for long form content. If you're faced with a podcast, which is an hour long, but you've been told by a friend there's something in there they should listen to, they can find that segment really quickly so you can expose that information to search engines.
You can really enhance the discoverability of the video. And most importantly, you can convert long form video effectively into something you would listen to sequentially, to something you would access as if it was a reference piece, and just dive into the bits you want when you want them. Thank you. Moving on. So I don't see any other questions.
So I'm going to keep the floor a little bit. But please, I encourage anyone to post their questions. But one for Tyler. You know the product. You know I, I have a special interest in artificial intelligence and AI. Is you know, what is it? You mentioned the algorithm. You mentioned there's a human component.
Like what is that mix? And, you know, what are you finding in terms of the reliability of the algorithm versus humans? That's that's a great question. So our I think our algorithm I wouldn't necessarily classify as artificial intelligence. It's really just a sort of calculation based algorithm that's looking for indicators that could say, you know, this is just something that should be potentially flagged for analysis.
And so what we've tried to design is just a way for people to be able to, to have an indicator of, you know, further sort of due diligence. So it's a little bit less. It's about artificial intelligence and more about indicators that aren't clear and obvious to anybody that might be looking at data to give them just a head start as to look at things.
That's great. Any other panelists have any other questions for each other? Nope well, we've hit 12 on the nose Eastern time here. So with that, I want to thank our panelists and all of you to join for joining us today. We want your feedback. Please consider completing the session evaluation form. And as a reminder, a recording of today's session will be posted in on demand library in just a few days.
And with that, this concludes today's session. Thank you very much. And I see on the screen apologies before we stop. Don't forget the always great and SSP annual meeting happening may 28th to 30th near me here in Baltimore, Maryland in the United States. So with that, Thank you all very much. Bye bye. Thank you.
Thank you. Thank you. Thank you. Susan OK. I think she's here somewhere. Turn off the recording. I'm here. Yeah hey.
Just a real quick. Just how is that? OK? it's still recording. Is it? Yeah I don't think so.
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The cadmore media player is a professional video and audio player experience designed to deliver media as well as relevant transcript, segmentation, and metadata. On the screen is a traditional html video player with buttons such as play, pause, forward, captioning, language and play speed selection and more. Adjacent to the video player are generally tabs, one of which shows a scrolling transcript of the video and the other shows any segmentation of the media, sometimes referred to as chapters. At the top of the video is a menu bar containing an Explore button and Tools button. The Explore button allows you to dig deeper into the video by opening up an explore dialog which contains tabs for a visual navigation of the video using thumbnails, an about tab which contains rich metadata about the media, a segments tab which contains further information about the video, and a related tab which contains links to other media related to this media. The tools button opens a menu with options for sharing the media on social media, creating bookmarking links, creating embed codes for your website, generating citations, and more.
Keyboard Shortcuts
Keyboard shortcuts only work while you are in forms mode. By entering forms mode, you will be able to quickly access portions of the media player with single key commands.
Spacebar: Play/Pause Toggle
I: Info Menu,
O: Tools Menu
T: Transcript Tab,
S: Segments Tab
F: Forward 15,
R: Rewind 15
L: Languages,
P: Playspeed
M: Mute Toggle,
V: Volume Bar
N: Video Only Toggle,
B: Full Screen Toggle
C: Captions Toggle
Escape: Closes dialogs and menus / Exits Player
Z: Next Transcript Chapter
X: Previous Transcript Chapter
Q: Next Transcript Paragraph
W: Previous Transcript Paragraph
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