Shannon Pritting: Cord this I'll turn it over to you unless there's. Are there any questions from any of the attendees.
Shannon Pritting: All right, take it away. Then, Jason.
Jason Priem: Thanks. Thanks. I have a question.
Shannon Pritting: Make sure or
Jason Priem: Are there any particular things that you'd like me to address, you know, just in terms of the context of this we've given a few of these and I don't know how many people have seen the other ones before anything
Jason Priem: Mark you unfair. I can see you there and suffering. I think like for these at this point.
Jason Priem: Is there any changes you want
Jason Priem: Compared to other sort of talked about in the past.
Mark McBride: I don't think so. I mean, the, the, the people joining today. This may be their first exposure to any type of training or if not, it's, it's only their second
Mark McBride: And I, you know, I'm not tired of these because every time we go through them. Jason I learned something new.
Mark McBride: So Shannon anything anything different. You wanted to toss out there.
Shannon Pritting: No, I think. I think the other sessions you have given her a pretty good template for what to do today, and then
Shannon Pritting: You know, I just wanted to let everybody in the audience know if if you have questions or if Jason is covering something and you want to know, well, how did you get to that conclusion or those numbers. Those are also great questions to ask too because I think those have come up with really
Shannon Pritting: Good discussions and other sessions that we've done on paywall
Jason Priem: Yeah, exactly, thanks, Jenny. I totally agree. And I think it's worth. Yeah, even even emphasizing because
Jason Priem: The goal of what we're doing is to create an approach and decision making that is more data informed than what has been available here to four.
Jason Priem: That means that trust in the data is of signal importance, right, it's, it's super important because
Jason Priem: If you don't trust the day you might as well go back just like kind of doing it off the cuff or making your best guess right so
Jason Priem: Where you have question about the data, you know, please, please do do holler and and also you know where we haven't thought of something. It's a chance for us to improve the tool.
Jason Priem: Most def we have thought of so far. When people have asked us, but we're always keen to learn. And a lot of times, a lot of times that's how you learn. Someone asked a question like,
Jason Priem: That. So yeah, so let me. Um, without further ado, I'm going to share my screen.
Jason Priem: I've already got that. And so I'm going to full size my slides and just a first of all, introduce you know I'm the co founder of on paywall along with my
Jason Priem: co founder Heather Provo far and what we did when we built on paywall was to create a complete open and legal index of open access, that's the goal for this thing.
Jason Priem: And I kind of look at it as a card catalog because I used to love card catalogs and I was a kid, which tells you how old I am, and
Jason Priem: On the inside, on the, on the first part of the card catalog. We have the cross rep dry system. So the key for this card catalog, the primary key is cross ref do wise and so every single article with across 50 July is in our system that's about 110 million articles.
Jason Priem: To that that card catalog. We're adding all of the green away in the world. So anything that's hosted on an institution repository or disciplinary repository.
Jason Priem: We match that to those July. So either match by DIY or were used a fuzzy matching based on title and author a year and that sort of thing.
Jason Priem: And then the final piece is all of the content that is hosted on a publisher site so gold. Oh, a hybrid away bronze away if it's on any of these 50,000 journals that meant cross ref do is we bring that into the
Jason Priem: card catalog as well. So it's a card catalog help you find where open access is you're actually already using on paywall if you use any of these other tools.
Jason Priem: So if when you're using, for instance, websites, you notice a lot of times a little link that will say open access, how do they know it's open access
Jason Priem: The notes open access because we told them, so they're one of our customers and similarly for Scopus for pro quest. OCLC all ended on the list. And there's a lot of other providers aren't on this list as well.
Jason Priem: I mentioned that because we're fairly small organization, but we are very trusted
Jason Priem: By a lot of these kind of major players is sort of enterprise quality data we've been doing this for a while and and if you're seeing open access data anywhere there's pretty good chance that it's coming from us.
Jason Priem: So I'm a researcher by by training. I was a PhD student when I started this thing, my co founder Heather is a researcher. She was a postdoc, and we
Jason Priem: We thought, Hey, we got all this great data about open access, let's let's do some science. Let's try and figure out what what a what amount of viewership could be open access today and how is that changing
Jason Priem: So we crunch all the numbers together. We got it's pretty chart. I'm actually gonna give you a little bit of a simplified version chart because it's a little bit of super point I'm trying to make. And that is 50% of the times that a person reads a scholarly article
Jason Priem: There is an open access version of that available somewhere so 50% of the time you've got an open access option when you go to read an article
Jason Priem: 70% of the time you will have an open access avail article available in a mere four years. So by 2024 we estimated 70% of views of scholarly articles.
Jason Priem: Could be fulfilled by open access, so you can take this chart, you can actually flip it upside down, same chart so 5070 right same chart, we're going to flip it upside down and say, actually.
Jason Priem: We can track what percentage of us couldn't be fulfilled by open access article. And when you do that you actually have kind of a graph of the value of a subscription, right, because in 2019 50% of the time you need a subscription.
Jason Priem: And 2024 30% of the time you need a subscription. So that line is going down the value of a journal subscription is collapsing less and less. Are we going to need the subscription to actually fulfill a usage request. That is why your subscription prices keep dropping
Jason Priem: Of course they don't actually keep dropping right even though the value is collapsing the cost is staying the same. And in many cases, the cost is rising. So that seems really backwards, right.
Jason Priem: Libraries are paying for free content. And I always say, if you like, that I got another great deal for you. How will you buy the Brooklyn Bridge right Brooklyn Bridge could be free.
Jason Priem: But I could go and sell you sell you the Brooklyn Bridge. That just doesn't seem like a very good deal. That's the same kind of thing that we're getting from publishers
Jason Priem: So this is quote about advertising that like where this guy said, half the money I spent on advertising is wasted. Trouble is, I don't know which half
Jason Priem: And that's actually the exact same problem that libraries are facing half the money that we're spending on subscriptions is wasted trouble is we don't know which half right when I say half is wasted right I'm referring back to this chart right half of the views could be free.
Jason Priem: But we don't always have the point of on paywall is that we want to be able to tell you which half is being wasted.
Jason Priem: Once you know which apps being wasted. Of course, you can cut that out of the budget. So you should be able to save 50% right if 50% of the views are free. You should only be paying 50% what you're paying now.
Jason Priem: So unpaid well journals is a tool to help you do that. So data dashboard that helps you maximize real subscription value.
Jason Priem: And the key word there is real. We want to have a more comprehensive look at subscription value because of publishers are going to say,
Jason Priem: Oh look, you can buy all these journals and look, you've got all these uses, but of course they're not going to be calculating all the users that you could fill other ways.
Jason Priem: That's what I wanted to go into like a real subscription tell you that a comprehensive look at subscription value, the old school way with of course cost per use, right, so we've got our usage, which we mostly
Jason Priem: Measured by downloads and we've got a cost which is description cost me. See, that's our value are more comprehensive model is
Jason Priem: To usage. Let's add citations and authorship. Right, so how many times our faculty from your institution, citing this particular journal, how often the authoring in this particular journal, as well as how often they're downloading
Jason Priem: And then we also to cost. Want to add, I ll so if you cancel a journal and that journal was getting some usage, we can expect that there's going to be increase in iOS for that title, we need to include that in the cost
Jason Priem: And then finally, the big one is this alternative access right that that 50% that's open access is perpetual access back file the institution has essentially
Jason Priem: Kind of scrolled away for a rainy day. Right. They've your institution. If you have perpetual access to anything basically that perpetual access is the offer and you've already invested in your friend for this title.
Jason Priem: And then research gate academic social networks, things like that.
Jason Priem: So how do we build this. How do we make this this cool graph right this cool better you know version of subscription value.
Jason Priem: Um, well, we're going to bring some stuff and you're going to bring some stuff. So what we bring is the open access data. That's the card catalog where I talked about
Jason Priem: We're also going to bring the citation and authorship patterns and we get that from Microsoft academic graph.
Jason Priem: The Microsoft academic graph is relatively new index that is essentially the same as Scopus, it has a little bit better. It's from Microsoft, obviously.
Jason Priem: It has a little bit better coverage than Scopus, but not quite as good as Google Scholar sort of in between those two.
Jason Priem: It has the really awesome attribute that the data are open. So you're allowed to share the data with anybody, which is of course not true for most citation indexes. So we're bringing that data we're bringing the open access data.
Jason Priem: And you are brand your account, your data. So, that's right. Your jr ones. We also will be able to accept counter five data. So whichever kind of version, you have
Jason Priem: And then any other custom data. If you want, you don't have to include this but you can also have
Jason Priem: custom data about your back file, you can have date ranges that you can exclude or include from your perpetual access back file, you can have custom price list that you may or may not have if you don't have those custom price list, we just use the list price.
Jason Priem: My slides are going slow. So it's throwing me off and on. Sorry about that. So what you get from that is a model projecting the cost and the fulfillment every journal for the next five years.
Jason Priem: So that's what this thing is. That's what the dashboard does is it tells you for every journal. What are your costs. What's your fulfillment. For the next five years. So you can make a decision. Those are the two, those are kind of the chess pieces on this board right
Jason Priem: So we talked about this model. And this is the same slide I showed earlier, but it says net cost per page into the bottom there.
Jason Priem: The bottom that that is the that net cost per paid use of the incredibly snappy title that we came up with.
Jason Priem: For our metric at the journal level of value, a more comprehensive metric evaluate something better than cost per use and it merits a little bit diving into
Jason Priem: A little bit more diving into them done so far so cost per use everybody knows right cost per unit cost over use pretty straightforward net cost per paid use
Jason Priem: First of all, let's look at that top net cost per page use includes the I ll cost. So let me give you an example.
Jason Priem: On a particular journal. Let's say the subscription cost is $1,000 so that's okay. The journal cost thousand dollars by. So if I if I cancel it, I save 1000 bucks right not quite right. Because if after I cancel it.
Jason Priem: I see an increase in I allow for that journal, someone's gonna have to pay for those I low cost.
Jason Priem: Right. Those are actually IO requests right somehow we're going to have to factor that into the price.
Jason Priem: So this net cost is looking at the cost of your subscription and also the cost of I ll so screwed across my entire. So again, using our example, if our journal cost 1000 bucks. We cancel that. And our I ll is going to go up 200 bucks or net cost is $800
Jason Priem: So that's the top part the bottom part is paid use that's two parts. So we're going to look at news first
Jason Priem: Already talked about for us. We don't want to just look at downloads, because that's not the only kind of us. We also want to add in citations and author ships from our faculty
Jason Priem: Says institution specific we're trying to get a broader spectrum of what counts as use
Jason Priem: And then underpaid that we already talked about. We don't want to include usage that could have been fulfilled for free.
Jason Priem: The open access via perpetual access via research gate. So we're throwing those uses that we're not going to pay for uses
Jason Priem: That we don't need to pay for. So this is the equation. This is the master equation that for every journal will tell us what is the value of this journal so
Jason Priem: Again, we're trying to make a model to predict costs and fulfillment for every journal next five years.
Jason Priem: Let's look at an example. This is a large us University. This is the demo examples. This is one. I'm kind of I always like to talk about
Jason Priem: Is the Elsevier Freedom package. I would love that name. Seems like Orwellian to me. Freedom package Elsevier that you're an organization I associate with freedom in every sense of the word.
Jason Priem: And then finally we're going to look at what happens if we were to cut the big deal and go to all a cart. So I'm going to
Jason Priem: Got some screenshots in case stuff doesn't work. But so far, everything has been working so I'm just going to flip over to that right quick. I'm going to look at the overview
Jason Priem: takes a little while to load getting real faster, pretty soon here which is going to be nice.
Jason Priem: So let's take a look at what the, the key, the key factors on this little screen are so first of all, let's look at this subscription. So there are 1800 and 55 dots in this little bar one for every journal in the Elsevier, big deal.
Jason Priem: For this particular university, all of them are grey grey means you're not subscribed so we're not subscribed to any of those 1800 and 55 journals, so that's that's the world we're living in now. Right, that's the model that we're trying to project canceled everything
Jason Priem: Moving over to the left. Let's look at this fulfillment fulfillment means when users show up and try to read an article
Jason Priem: What happens, what do they get well 6% of the time they get an article that they can find on research gate.
Jason Priem: Or somewhere, similar to that 25% of the time they get perpetual access back file. So in those cases, they only really noticed that a cancellation has been made.
Jason Priem: 26% of the time they get an article that could be
Jason Priem: Fulfilled via open access, so that could be through your link resolve on paywall can integrate with your link was all for that. So the free
Jason Priem: It could be the the Open Access extension. It could be via searching on Google Scholar could be a lot of different ways. But there, they can find it via open access
Jason Priem: And then finally 43% is delayed. So these green ones are all instant right right off the bat. They don't have to wait. It can be addressed right away. This 43% may take more time. So the two kind of biggest ways to make three maybe take biggest time is they might need to find
Jason Priem: A similar article. Right. That does the same thing, but that they can read, they might need to email, a colleague and ask the colleague for a copy of the article for PDF, they might need to add can have PDF, they might use left legal means
Jason Priem: And they might want to submit an email request. So these are all ways that are kind of delayed. So they're not as good. So these green ones are kind of like, hey, even after the cancellation.
Jason Priem: 50% of the time better than 50% of time. We've got good news for the user.
Jason Priem: Right. Like, you can still get this this this resource. You don't have to wait no problem for the first time we have less good news. It's not terrible news because we are still going to fulfill the request.
Jason Priem: But the US is going to have to wait.
Jason Priem: And then finally, let's look at total cost total cost we just split it up into two parts, so that the top here, right. Hundred percent before graph that would be what you were spending before. So for this institution was $2.3 million. That's what they were spending before
Jason Priem: After we cut all of our big deal and we don't subscribe anything. Obviously, we're able to save a ton of money. So we save 80% of what we're saying before, we are still spending 18% so 18% is still
Jason Priem: Still a cost, right, because, because the yellow goes off right so that's that sort of net cost.
Shannon Pritting: Idea, Jason. There was a question in the chat. So, so in that. Oh, a percentage you're including all types of away. So if it was a pre print
Shannon Pritting: You would be including that in the percentage. Correct.
Jason Priem: Yes, sir. That is correct. I can show you what it would look like if we didn't do that. So this is the configs almost all of the assumptions that we make as part of this model you can edit. So the idea here is we've got the expertise, one hopes to
Jason Priem: Build a model that takes into account all of these factors, but you've got the expertise to set those factors at the levels that makes sense for you.
Jason Priem: And so in this case, let's say you wanted to say when I'm
Jason Priem: When I'm looking at at open access, I am not interested in anything that hasn't been peer reviewed so a pre print. No, that doesn't count from the anonymous shit.
Jason Priem: So you would just go here which says permit non peer reviewed version, click on that. It's currently set to true. I'm going to hit
Jason Priem: False and save it so it was 26% away. It's going to think for a minute and when it's done, thinking that. Oh, a number is going to drop some I don't remember how much
Jason Priem: Alright, so it's gonna drop by 4% and remember this is customized to your specific institution. So some institutions may see different numbers here.
Jason Priem: And the reason why that might see different numbers is because their usage may be focused in different areas. Right. So if your institution, let's just use a hypothetical does nothing but hired in high energy physics.
Jason Priem: You're going to be able to find a lot of open access because hygiene physics has the archive. They're graded open access if on the enhanced your institution does nothing but let's say chemistry.
Jason Priem: Those numbers going to look different because chemistry, not so strong and open access, right. So it's very tailored to your specific institution.
Jason Priem: I'm going to switch that back on because I'm used to it.
Jason Priem: And there's a number of other kind of like, you know, fiddly little adjustments you can make as part of this configs pain.
Jason Priem: So what I want to show next is, this is a model that assumes that you have cut your subscriptions 100% you don't have any subscriptions anymore.
Jason Priem: And what's interesting is, that's not actually the best model for the library. Most the time oh I before I say that
Jason Priem: I did change the I ll in this because I was given a demo literally like just before this meeting.
Jason Priem: And we were playing around, and I said, The I ll transaction costs to $27 that's very high for I ll most people are not going to spend that much money per transaction.
Jason Priem: On Iowa for $27 but what you can do at $27 is you can do document delivery, which I think is really fun because if you do unmediated document over, you can tell faculty look if we don't have the resource you can get it right away by unmediated document delivery.
Jason Priem: And you won't really even notice. You know, any, any barely any any problem. So it basically would make it into another type of instant access
Jason Priem: It's just a little bit more expensive to do it that way. So you can kind of model play around with, with which ones you do I like this one because
Jason Priem: The message into faculty, I think, is really positive. You can say the fact. Hey look, we're always going to get a 40 right away, which I think is a nice nice thing from here.
Shannon Pritting: Jason. There was another question that
Thanks.
Shannon Pritting: So the question was, it was mentioned that uploaded stats can be included in the unpayable journals analysis. So does that mean and overlap analysis could be done adding titles titles from other databases.
Shannon Pritting: To do the same analysis. So,
Shannon Pritting: Right now it's Elsevier only and then you, you have plans for other publishers soon correct or in the near future.
Jason Priem: Yeah, that's correct. So why they will be the next one that's coming next month. And then, Springer will be after that. And then we're not sure what which one is after that most of them just kind of want to listen to feedback from users.
Shannon Pritting: But it's not a. It's not a tool where you could take any any journal package that you had and just kind of upload it and run it, it's a more focused on scenario is based on publisher's at this point.
Jason Priem: Um, yes and no. So, it is more yes it is more focused on scenarios based and publishers. That is very true.
Jason Priem: Some people have have done this and you certainly can do it, you can you can kind of hack it a little bit like if you want to say your
Jason Priem: Publisher is this list of counter that it's all kind of based on the counter file. So if you want to
Jason Priem: Bash all of your, you know, 20 different publishers into one counter file and upload them.
Jason Priem: We're not necessarily going to, you know, the system is perfectly happy to treat that like one publisher. So you would have kind of a virtual publisher that so you could do it that way if you wanted to, but that's not the that's not more what we're based for that make sense.
Shannon Pritting: Yeah, yeah. So, so a lot of your a lot of your data comes pre packaged based on information you're getting around that publisher and what you would lose by doing that would be a lot of that information being
Jason Priem: That's true, yeah. That is very true. Yeah, that's true. And, and that'll be decreasingly true over the course of this year, as we add more and more publishers
Jason Priem: Excellent. That's a, that's a great question. Chen. So yeah, it is very much focused on Elsevier right now for sure and and if you have non Elsevier questions to ask it, it's going to have less good answers that is for sure.
Jason Priem: Um,
Jason Priem: Any other questions while I'm stopped. That's a good time for me to listen to
Shannon Pritting: It. We just got another one from Elena our assumptions made regarding faculty behavior by type of institution. I am at a comprehensive College, not a research intensive institution and I don't have any sense of how often faculty use research gate or I can have PDF. So just
Jason Priem: Yeah, that's a, that's a great question. So, um,
Jason Priem: I guess there's there's a two part question. So as far as research gate goes, that is an assumption that's basically across all institutions and the reason for that is because if
Jason Priem: If you come up a zero on an article if you search for an article you don't find it.
Jason Priem: Typically, depending on the researcher, but a lot of people's next stop is to Google for the article, and if you Google for the article or Google Scholar for the article.
Jason Priem: Google and Google Scholar prioritize research gate. And so that's why those research gate numbers tend to be so high, is it's kind of a proxy for people who are searching just Google or Google Scholar.
Jason Priem: Which I think is pretty common across institutions. So the research gate number is not really tailored to any type of institution.
Jason Priem: So there, there are some assumptions laid in there. And so if if yeah so that that's kind of where that comes from.
Shannon Pritting: And you could
Shannon Pritting: You could remove that factor if you wanted to be.
Jason Priem: You could. That's correct. That's correct. If you assume that people will search Google or then we'll search Google Scholar and they don't know about research gate.
Jason Priem: Um, any of those three of them. So, like I say, if they search Google Scholar, they can use research gate. That's, that's, basically, those two are very cozy. Unfortunately, I think. But, um, but that is the reality.
Jason Priem: If they don't know about Google Scholar. If they don't know about Google or at least I don't. It doesn't occur to Google for article, then I'm done, I would take the research came out. And yeah, you can do that via
Jason Priem: There's a frame or somewhere. Where is it
Jason Priem: Oh yes and coke has a content which is research gate is an academic social network. So you could just remove all of those boys save it'll Think for a minute and you'll just you'll just leave that little one little sliver
Jason Priem: On as far as I can have a PDF or things like that. That's kind of why we put this for 3% in Iowa and other
Jason Priem: As you see the numbers don't change a ton. Actually, I'm going to put back in there. Um,
Jason Priem: The reason why we included a Iowa and other is because, yeah, we don't have really good data on how often people request, I can as PDF, how often people email.
Jason Priem: Email co authors or email colleagues, how often people just find another article, it's just as good. It's surprising how little data is available about that how and I think it's probably because it's kind of hard to study.
Jason Priem: I think the, the, I think that the literature around that is growing. People are increasingly interested in that. And as that literature.
Jason Priem: Starts to, you know, achieve any kind of consensus will start breaking up that that delayed category accordingly. But for now we just kind of throw it all in the same bucket and bucket is you can get it, you're just gonna have to wait.
Jason Priem: Um, so yeah, so this is. Oh, is this thing doesn't blink. One is a question. It looks like it does this is great. This is really opened up my world right now.
Shannon Pritting: Yeah, I'm monitoring the chat.
Shannon Pritting: To
Jason Priem: All right, great. Thank you. That's awesome. Um, cool. So
Jason Priem: So what's cool about this, like I said, is that we can model what what actonel cancellation would look like. But remember,
Jason Priem: Half of our money is wasted. We just don't know which half so the pounds of tool isn't actually just and telling you if you cancel everything. This is what will happen the power of the tool is saying if you cancel everything
Jason Priem: Can we now rank the remaining journals.
Jason Priem: So that we can only subscribe to the ones that provide excellent value and we can ignore the ones that have rubbish value because if we can do that, we can tailor our collection in such a way that we can address a lot more
Jason Priem: Usage well not spending so much money right every, every, every journal, like if there's a journal, for instance, that is totally open access, there's no reason to subscribe to that channel.
Jason Priem: So we can do that in aggregate by clicking this find the best deal button. And when we move the slider. You can see on the cost. We're spending more and more money on subscriptions.
Jason Priem: You can see on the fulfillment that we're fulfilling more and more requests via subscriptions. And you can see on the subscription that these gray dots are turning blue, which means we're subscribing to them. So when we go all the way up here to let's say halfway
Jason Priem: So this was a $2.3 million, big deal. So that means we're saving about a million bucks a year with this subscription package by targeting our subscriptions.
Jason Priem: We can meet 80% of the usage instantly. So for the user. This is basically just as good as a subscription.
Jason Priem: 80% of it we can meet, but we can spend 50% of the money. So we save a million dollars we lose 20% of the instant fulfillment.
Jason Priem: And for me, as a tuitions that's a pretty good deal.
Jason Priem: And the key is we're not subscribing to all of these great journals were only subscribing to the blue journals.
Jason Priem: And to know that we have to be. Oh, and I can show. Actually, it's kind of fun. As you keep going. Doing this ladder up right you could spend another million dollars.
Jason Priem: And only get another one like 10% of fulfillment, or something like that, right, because like as you go up the journal value decreases really quickly. And so you're basically spending a lot of money and getting very little back
Jason Priem: A lot of the journals, as we kind of know are sort of worthless. Like they get almost no usage.
Jason Priem: Their large percentage open access, you're already on the backfire. When you can be the kind of include all those things.
Jason Priem: The journal is not worth very much. So what this is telling you is which journals are worth a lot and how and those are the ones you subscribe to. So once we've done this, we can, for instance, we can say save
Jason Priem: These subscriptions. It's going to thank for a minute. And now I'm going to go to the generals tab where we can dig in to each individual journal
Jason Priem: And so we see that some of these have this gray shopping cart, which means we subscribe to them, and some of them don't. And unsurprisingly,
Jason Priem: It's the ones that have got good net cost per pay us. So that's 55 cents per page use for academic pediatrics, that puts it number 36 that's ranked number 36 out of all of your journals in net cost per page you so it's one of the most, one of the highest value journals that you can get
Jason Priem: International Journal of electronics and communications. On the other hand, because it has very low usage and it has a decent little bit of free instant uses that you can provide
Jason Priem: In a relatively high cost if net cost per pay uses not very good is $26 so it wasn't included in that automatic subscription and it probably wouldn't make sense to ever subscribe to it. And in fact, you can even look. And there are a number of
Jason Priem: Journals where you almost have to subscribe to it because if you were to unsubscribe. It would cost you more.
Jason Priem: So cell is a good example that its net cost prepaid uses negative. And the reason for that is because it's I ll costs are very high.
Jason Priem: If you were. And the reason is because its usage is very high. Right. It's a highly use title. It does have a lot of free stuff. But even with that free. It's used so much
Jason Priem: That you'd kind of be a soccer to cancel it because you're going to have to me so much. I ll, you can click on it and you can zoom in and get even more information from that.
Jason Priem: So if we're looking at fulfillment. Let me click on the fulfillment tab and I can go down here to LL
Jason Priem: And see what that looks like about him. Let me show in a different
Jason Priem: Version. There we go. I ll by year, we can look at Iowa cost year over here. So here in the year 2021
Jason Priem: We're going to spend 11th. If we were to meet it VI LL, we would spend $11,000 and going all the way up to $12,000 in 2024 and, of course, that number goes up because
Jason Priem: The bat file becomes decreasingly valid for that title right like four years down the road.
Jason Priem: Not that many of your accesses are going to be hitting the back file. So there's a lot of intersecting kind of curves of backfired graduate goes out of stuff that goes out a date.
Jason Priem: This particular journal is a delayed open access title. I think it says right there delayed away as as an embargo 12 months. So you got to include that in the calculation right where
Jason Priem: Some of the older stuff after 12 months it is available open access, even though in four years that will be in your back file. So there's a lot of intersecting calculations happening within the model, um,
Jason Priem: The last thing I want to show you all. Is there anything else. Oh, something else I want to show you this usage number. Notice this doesn't say downloads.
Jason Priem: Right, because we were talking earlier, and we want to talk about usage. We want to kind of talk about all three kinds of usage. And so the way we do that.
Jason Priem: Is in fact maybe the easiest ways to show you by clicking on cell, again, is we actually have sort of a multiplication factor for citations from your faculty and from authorship from your faculty and I can show that under impact which I should say usage.
Jason Priem: So we got this many downloads. This is your projected annual downloads based on your historic information about 30,000
Jason Priem: Each of those councils, a weight of one and that's its usage contribution that we've got citations. We've got 500 citations from your faculty to this journal
Jason Priem: And each of those 500 citations has a weight of 10 and so it has a 5000 users contribution and then dinner with the options right three author ships.
Jason Priem: Looks like each of them has 100 apiece. I get to 3060 and there was some of them up. And that's how you get that usage number
Jason Priem: Now, you might not like those particular weights. Not everyone's going through, that's totally okay so that's why you can set the weights here. So if I want to not have 100 I have 10 or 12 I want to have 97 whenever you can set those weights there.
Jason Priem: It's kind of weird to lump all of your usage together in one number when these are really different dimensions.
Jason Priem: But the reason why we do it that way is because ultimately you're going to have to make a decision on one dimension right it's either going to stay
Jason Priem: Or it's going to get cut one of those two things is going to happen. So you have a one dimensional decision. And so that's why one way or another.
Jason Priem: We're going to have to come up with a one dimensional number. Our goal is just making. So the parameters that number are highly
Jason Priem: highly customizable, so that it's not just an arbitrary number so number that reflects your actual values as part of a conversation that that you can have about, you know, what should these things count as I'm
Jason Priem: Oh, one of the nice advantage of that too is as replicable right so you can perform that same analysis then year over year. And you can perform the same analysis across disciplines.
Jason Priem: You know, regardless of
Jason Priem: Regardless of if we have one faculty member says, but you're saying my thing. It has this and this and this. You say, look, we're using the same formula for everybody. This is why I came up with.
Jason Priem: You don't like form that we can have that conversation right
Jason Priem: So yes, you can. You can add a lot of these tables. A lot of these columns to the table. So if, for instance, you're interested in impact and want specifically say
Jason Priem: I wanted to see how many times. Let me take off authored I want to see how many times this particular thing was cited this trigger journal cited by fact that you can add that. Now we've got a site ID.
Jason Priem: Column and you can even sort it so you can say, hey, let me show. Show me the journals that my faculty have never cited
Jason Priem: Right. So this one, Journal of radiology nursing we subscribe to it because it's got a very good net cost per pay us. That's probably driven largely by lots of download usage.
Jason Priem: And the fact lots of it's free. But if I wanted to say, Look, I don't subscribe to anything that on site. Okay, great. Well, then you could then say, Okay, I didn't cite this not interested.
Jason Priem: Going to unsubscribe to it. Now I've kind of like tailor my package a little bit and then that's going to be reflected in the cost. So then if we go back to the overview will see that there's going to be a little gap in our
Jason Priem: In our graph.
Jason Priem: Right down there. I don't know if you can see it was so tiny. Hey, I can zoom in there. Yeah.
Jason Priem: Yeah. Yes. In the third row that is that one little green dot right because even though it's net cost per page uses good, even though we think it's a pretty high value title.
Jason Priem: If for whatever reason you don't want to subscribe to a great university graduate kind of chop it right out of the last thing we're showing is the APC costs. I think you probably spent a lot of time in this tab based on yells use case. But just in case you do
Jason Priem: A lot of people talk about the cost of publish right and that's what we tend to be focused on traditionally, but there's a growing interested in the cost to read right so
Jason Priem: This is where you can figure that out. What's your read cost particular journal these blue ones are ones that you're already said that you're
Jason Priem: subscribed to of course the gold journals. So this is all of Elsevier journals. This is gold journals course. You can even subscribe those which are going to try and figure out how much does it cost for you.
Jason Priem: To publish in that journal. Now how much she's got she read how much it costs to publish. And the way we do that is we use the public listed a PC price that's this first column.
Jason Priem: We figure out the number of papers that your faculty have authored in that journal and then we divide it by their percentage of the authorship group. They were so
Jason Priem: It's easy to say, for example, if, if, if you've got one faculty member published one paper and they were part of a group of three authors.
Jason Priem: Then that's point three, three would be your authorship contribution, right, because you're kind of a third of the author group there.
Jason Priem: It's a very rough way to estimate how much money is being spent. But, you know, assuming that you're roughly equally likely to pay to a PC.
Jason Priem: It comes out fairly close and Elise is closer, anything that we've got so far we're going to keep working on kind of brunette. So, this particular institution.
Jason Priem: Spending $90,000 on publishing based on these estimates and you can even search for particular journal. So let's say we're looking to sell earlier.
Jason Priem: I can look a cell search for that and say, Okay, look, it looks like I've only got I only published to sell papers where I paid an APC for them to hybrid journal
Jason Priem: And I wasn't a very big part of that. Authorship list. So my overall estimated cost.
Jason Priem: For my faculty to sell was $495 so not not very much. Now that may or may not be relevant to you, depending on you know kind of what sort of negotiations, you're doing but just, just to let you know that it's there.
Jason Priem: And so with that, I would love to stop talking and hear any questions or comments from
Shannon Pritting: Any questions, everybody should have the ability to unmute themselves. If you want to ask a question.
Shannon Pritting: To voice or type in the chat.
Shannon Pritting: Jason while we're waiting for questions. Could you jump back into the journals.
Shannon Pritting: The journals functionality. It could you explain how you got to the free percentage per journal. It could be because you'll see that it varies between journals. Yeah, that that's kind of an interesting and important part of, like,
Shannon Pritting: Your decision on a on a specific journal
Jason Priem: Yeah, great, great point, Shannon. Sorry about that. Um, it is quite important and it's not obvious. Exactly. So the free instant usage percent is the equivalent of and hop back to the overview
Jason Priem: That is the equivalent of in this bar graph that we showed in filming archive.
Jason Priem: Everything that is green. So that's okay because they can get that instantly and it's free. It's backfired because I can get that instantly and it's free and they get the research gate. That's
Jason Priem: Available as of late, and it's free subscription is available instantly but it costs money, and I alone. Other is free.
Jason Priem: But it's not available instantly. So you kind of have intersecting categories. So for the journals, we just kind of some those up because it is the most as a shin you're you're implying. And of course, no. It is one of the more important.
Jason Priem: It's one of the more important things that we're providing because it would help you say, you know, after we cancel this faculty 58% of academic pediatrics. If we were to cancel it 58% of your usage, you can get for free. Instantly, even though we're not paying for it.
Jason Priem: And what we originally set out to build actually with this tool was something that only calculate this number.
Jason Priem: But we pretty quickly realized is that it needs to be customized for a lot of other stuff for your institution, right, because even if it's available. A lot of it's available for free.
Jason Priem: We need to know what your download curve is and we need to know
Jason Priem: How much usage, you're actually making it because in this case it's the academic pediatric got a lot of free instant content, but your usage is also very high
Jason Priem: And consequently it and because the subscription, price, price is pretty low. It does actually still make sense to subscribe to that title.
Jason Priem: It's kind of fun to sort by free sorry around
Jason Priem: So for instance, and you can start to some of these like developmental biology. It's got really high usage. That's 34 3400 users per year is pretty high.
Jason Priem: But the combination of a high subscription costs and, more importantly, really high free instant uses percent
Jason Priem: Means that it doesn't. It's a soccer game to subscribe to this your net cost per pay use of $50 $50 it's a lot cheaper. Right. Like if it's $50
Jason Priem: Per paid paid us if you just document delivery every single one, you still you still save a ton of money on this title. And there's a lot of titles that are like that. And so that's one of the many one of the concepts that goes into this calculation.
Jason Priem: Does that answer your question. Shannon or or not.
Shannon Pritting: Yeah, I think it. I think it does. One of the conversations that we were having in an earlier webinar, you know, the question came up that you would expect that the free percentage would go down as the
Shannon Pritting: Back file got older and older correct because, you know, higher usage of of more current content, but you were explaining your model and how, you know, actually, most of the journals are getting more open, in essence, right moving forward or more free content moving forward.
Jason Priem: Yeah, exactly. One of the parameters of the model has to be the increase in the amount of hybrid content for each journal and we can look at the history of the journal and just
Jason Priem: Really just draw a very simple, you know, extrapolation for that.
Jason Priem: That says, Well, you know, some journals are not becoming more hybrid and right. And so in that case that's that's not such good news. In other cases, they're becoming a lot more hybrid. And in that case, you know, we throw that into the model as well.
Jason Priem: So for this one.
Jason Priem: And our estimate for BACK. FILE 74 uses are fulfilled by back file in the first year, but only 14 each of the subsequent years. So the back file has kind of
Jason Priem: Gone down, it looks like, oh, a standing constant, constant. Um, and so in this case we will be able to overtime fulfill a decreasing percent of of requests with free instant sources.
Jason Priem: But, you know, because we started so high, the average is still pretty good does that I think that sounds good question.
Shannon Pritting: Yeah, I think so. I think so. And
Shannon Pritting: I think
Shannon Pritting: Elaine is asking a follow up question, which might help clarify this even further. So
Shannon Pritting: She asked how does the free instant usage percentage factor in year of publication. So I understand that a lot of older journal content is available in back files.
Shannon Pritting: Or it is no longer embargoed but oftentimes our faculty want the articles that were recently published fact that older content is free to access is helpful, but not always, where they need lies.
Jason Priem: Absolutely, absolutely. Well, that's what's so neat about this approach is for every journal. We have modeled the download curve for that download decay curve for that journal. So in a discipline like
Jason Priem: bio med for instance stuff goes out of date real fast. And so if you look at the download curve for a given article
Jason Priem: You got a ton of downloads in the first year maybe not so much and then very quickly tails off if you look at a discipline like math you get
Jason Priem: Models, you know, reasonable downloads in the first year still second year still 37 right the math, it stays current for longer and so that that's it doesn't drop off as sharp late
Jason Priem: So what we do is we take that curve and then we layer into the model with the same curve that is the, like you said, the bat file where your back buttons. The
Jason Priem: The open access embargoes which could be either delayed open access, or it could be embargoes that are associated with self archiving. So the delay could be either on the green or the gold side.
Jason Priem: What other time dependent things I'm blanking right now, but a couple other time dependent things so that we're looking and the, the, kind of the key concept of this is that a download the download and use as a use. And so if that use
Jason Priem: The fact that you get a lot more uses right after the thing is published kind of automatically goes into the equation. Those usages end up counting for more because there's so many of them in that very first year.
Jason Priem: That, that makes sense because the goal is, you want to fulfill the US right if someone looks up the
Jason Priem: Someone looks up an article. They want to be able to get the article if that articles 10 years old with Articles 10 days old. Either way, they want to get the article.
Jason Priem: It's just, it's not very common for the want a 10 day old article and it's very common than one to 10 so it's not very confident. Want a 10 year old article
Jason Priem: But it is comes in one A 10 day article and that is totally included in the model, and that's
Jason Priem: That's oh yeah it's a fair a fair amount of work on the back end to be able to kind of intersect all of those different curves. I hope that I feel like I'm going circle, a little better because it's like I I've done a bunch of these this morning. So I'm getting a little dumb.
Jason Priem: Question.
Shannon Pritting: I think what you're saying is that your model that comes up with the free instant usage percentage is factoring in that there will be something that was just published is perhaps less likely to be free but also more likely to be requested. Correct.
Jason Priem: Yeah. That is correct. It definitely factors that in
Jason Priem: The key of the model is for every request we know, given the age of that request, how likely a person is to come up with an open access article and we factor that into the model.
Shannon Pritting: Right and the download curve. You were referring to is just that. So you're looking per journal journal title on that download curve and then that factors into the percentage of free going forward in essence.
Jason Priem: Yep, that's correct. Yep. And what's confusing about is that every year. It looks different for each title.
Jason Priem: For each huddle. It's a different set of curves. So there's a lot of like set a lot of math that goes on in the back, but the concept is pretty simple, which is just for every journal
Jason Priem: We kind of know what it's down the curve looks like. We know what it's embargoes looks like. We know how much open access is growing. So we have all the numbers. It's just a question of laying all these curves on top of each other.
Jason Priem: So that we can say this is what it's going to look like for you this year.
Shannon Pritting: Because it looks like it answered Elena's question.
Shannon Pritting: Okay, any other
Jason Priem: Great question, too, and
Jason Priem: It's a I'm still struggling with definitely like a way to make that more clear. And I know that I'm not doing a fantastic job of that. So thanks for patients. But the really good question and I think an important question.
Shannon Pritting: I don't see any other questions in the chat. Feel free to unmute yourself or type into the chat. We have a we have a little more time.
Shannon Pritting: Any more questions.
Shannon Pritting: All right, I guess that means there are no more questions. Thank you very much for your time. Jason much appreciated.
Jason Priem: Absolutely, yeah, for sure. Thank you all for your time. I know you all are busy and I sit here and listen to someone ramble on about some new crazy website is that is can be a tough, tough start your week. So thank you very much for your patience. Okay, great.
Shannon Pritting: I'm going to stop the recording here.