As I said, I'm Allison Fromme. I'm the Community Engagement Manager of ARKive. And I'm really happy to be here to tell you more about ARKive and our central mission, OPEN. So first of all, let's start with the basics. What is ARKive? ARKive is an open, curated research sharing platform. And we include research in physics, math, computer

science, and more. And anyone around the world can use ARKive.org for free. We are a project of Cornell University, and specifically Cornell Tech, which is based in New York City. Our staff,

though, is distributed around in different locations. So just to give you a little bit of history, decades ago, perhaps even centuries ago, preprints were draft papers that authors shared with their colleagues manually on paper. And researchers shared their work to get early

feedback before publication. And this was done by mail on paper. In the 80s, Joanne Cone, an astrophysicist, realized that she could share preprints as tech files via email.

And so she began a list of researchers around the world, and that grew to about two or three hundred researchers. And then, of course, the internet happened. And Paul Ginsberg

suggested, why not automate this process? And so that was the beginning of ARKive as we know it today, this internet-based distribution of preprints. And this really became the norm in many subjects like physics and math and computer science, and then over time has grown

to other subjects such as biology with bioRKive. And now ARKive doesn't just host preprints, we also post conference proceedings and sometimes also peer-reviewed and published

versions of articles. So what is ARKive's mission today? We want to serve researchers in three very specific ways. We want to enable researchers to read new work to stay current, to share research quickly, and to support open access. So ARKive today, I just want to share some numbers about

the scale in ARKive's history. There have been more than 2.5 billion downloads of articles. We have about 5.2 million monthly active users, more than 2 million total articles

posted to ARKive, and so on. Submissions originate from around the world. I want to highlight the people part of this list. We are supported by institutional members around the world, that's universities, research labs, who contribute financially and also share

expertise with us. We have about 200 volunteer moderators who do basic quality assurance checks. We have about 26 advisors who serve on advisory boards, and we have about 12 staff members.

So it's both a large team and a small team, and we are really grateful for our global community. In the past few years, we've seen unprecedented growth in usage, and particularly when you look at this graph of submissions, it's just been increasing and increasing at

greater and greater rates. Although we saw a huge spike in 2020, I think when people were staying home for the pandemic, researchers probably had some time to actually write up results that they've been sitting on for a while. So we saw a big spike in 2020,

and now we're seeing a little bit of a leveling off of submissions, but still very, very high. This diagram right here is a very basic schematic of how archive works from the reader and author perspective. So if we start over here, an author or researcher is ready to submit their research,

they go online, they go to archive.org, they go through the submission process, and then the submission goes to moderators. Those are the volunteer moderators around the world, and the submission is also checked by an automatic quality assurance system,

and then if it's deemed to be research that fits with archive scope, a full text PDF is produced on archive.org, then emails listing new papers are

received by subscribers, researchers discover new ideas, the community builds on that research, and the cycle continues. Again, this is a pretty simplified version, but these are the basics of how researchers use archive. So the growth and usage,

it really reflects how much researchers want open access. They appreciate the speed, the control, they get to decide when a piece of research is ready to be shared, they don't have to wait for the peer review process. And so archives role in academic publishing has to do with these three factors, the first being registration, providing us a timestamp for

submission of the scientific results. So this is, the researcher gets to say, you know, stake their claim in that area at that particular moment in time, and perhaps prevent scooping by another research group. There's also the dissemination aspect,

which is, you know, distributing the scientific results publicly to the audience that, you know, wants that information. And then there's this third aspect of use and reuse. Researchers, when they post their work to archive, they get to choose the license that they want to use,

and we encourage researchers to choose the license that's appropriate for them. And we offer several different Creative Commons licenses along with an archive license, and this promotes and facilitates the reuse of scholarly information. So again,

these are the three services that we provide. The one missing here that's worth mentioning is peer review. Archive does not do peer review. However,

it can serve as the basis for another layer of peer review on top, and so I'm going to talk about some of the ways that archive articles can be used and reused. All right, so one way that archive promotes reuse is through DOIs. Archive was started again, you know, back in 1991

before DOIs existed, but had the foresight to use a persistent identifier. So there's, each article is labeled with an archive ID. That's the URL, and that is a stable URL.

We recognize that now that DOIs exist, the rest of the world uses DOIs, we, our researchers and research community, finds DOIs useful. So now, in addition to the archive ID, we also mint papers with a DOI, and that's through data site. Now, there are

lots of ways that community organizations around the world have interacted with archive and built

tools on top of archive. Now, there are many such projects, and I can only talk about a few, so I apologize that I can only talk about a few of these projects, but this is through a framework at archive known as archive labs. It's like a framework for collaboration. So linking to code is one of these collaborations. Papers with code is an organization that's

separate from archive, but by integrating with archive allows authors to link their research directly to the code that they're using in their papers, and this code is then accessible

by a link on the archive abstract page, and there are other archive labs projects like connected papers and Cite, which is a citation service. These are projects that are linked from the archives, the archive abstract page, but are developed and run outside of archive

by community members. Another way that archive content is used in scholarly communications is with overlay journals. So as I said, archive does not do peer

review. However, overlay journals are built on top of archive to do that service, again, separate from archive. So for example, the open journal of astrophysics selects its content from papers that are already on archive.org, evaluates and reviews them, and then posts

their curated lists online and links back to the archive content. There are also a whole host of new peer review services that are popping up, and there are just too many to name, but we're excited to see what's happening in that area too. Again,

they're leveraging the fact that archive content is open and building these services on top. Another one I want to mention is the R5 organization, which is working to provide content beyond the standard PDF. You know, when people think of a research paper, they think of a PDF or a printed

paper, and R5 is using archive content and displaying it online as responsive HTML. And so you can take any archive URL, you know, paper URL, and replace the X with a five

and see that content displayed. It's a work in progress, so it's not perfect for every paper, but it's again an example of how content is being displayed in this way. So the last thing I want to mention here is that archive can also be seen as a data set.

The metadata, the full text, has already been used in machine learning and natural language processing research, and so the data set itself can be found in multiple ways, but in one way

the archive content is posted on Kaggle, and so that's available again for machine learning, other types of research about research. And so I highlight all of these, again they're just examples, this is just the tip of the iceberg,

to show how archive's basic service as a research sharing platform can be leveraged by the community to create tools that are useful for the community. I can't give a talk about archive without mentioning the very difficult issue of funding. Archive is free for readers and authors,

but it is not free to operate, and like so many open access resources, we're all struggling with how to make sure we have stable funding to operate now and well into the future. So

we are just so grateful for our steadfast supporters. The Simons Foundation has provided substantial funding for more than a decade and really contributed to our financial stability. We also have a membership program for universities and research labs around the

world, and this is just a snapshot, you can go on archive and see the full list. We're so grateful for any university that contributes in any amount to recognize the usefulness of open access to their researchers. So thank you so much again for having me.

These are some links you can always contact me at membershipatarchive.org.