Research during the pandemic accelerated discussions surrounding the value of preprints. Preprint services, such as the venerable arXiv and more recent bioRxiv, are accepted steps in the publication pathways. Are existing models sustainable? What issues are there with regard to infrastructure? Should there be some process for validation or rejection? How much understanding of the limitations of preprints is properly communicated to journalists or other interested parties? This virtual conference follows up on the 2019 preprint event sponsored by NISO. What progress has been made?
Among others, confirmed participants include Alberto Pepe, Director of Product, Authorea; Bruce Rosenblum, Vice President, Content and Workflow Solutions, Atypon; Kathryn Funk, Program Manager, PubMed Central, NLM; Kyle Lo, Research Scientist, Semantic Scholar, Allen Institute for Artificial Information (AI2); Leslie McIntosh, CEO, Ripeta; and Richard Sever, Assistant Director, Cold Spring Harbor Laboratory, and Co-founder of medRxiv and bioRxiv.
Background Reading on Preprints (NISO Publications)
1, Open Access: The Role and Impact of Preprint Servers, January 2020
This is a write-up of a two-day event sponsored by NISO in November 2019. The 2021 event builds on areas of concern surfaced during that set of discussions.
2. Why “What is A Preprint?” is the Wrong Question, December 2019
Jessica Polka, ASAPBio
3. To Preprint or Not to Preprint, December 2019
Sara Rouhi, PLOS
12:00 Noon - 12:15pm Welcome
Event introduced by moderator, Todd Carpenter, Executive Director, NISO
12:15pm - 12:45pm Enriching Preprints with Provenance, Reproducibility, and Trustworthiness
Preprints aren’t new, but the COVID-19 pandemic greatly accelerated their growth and popularity, shining new light on a practice of early dissemination that used to be common only in the physical sciences. While "pre-printing" has now become an accepted step in virtually all journals' publication workflows, funders, publishers, and societies are grappling with what preprints mean for journals in the long-term, and how to share research early while maintaining trustworthiness, credibility, and the rigor of peer review. In this session, I will discuss some new initiatives aimed at "enriching" preprints with indicators of quality, value, provenance, and trustworthiness: the publication of peer review reports and timelines, the automatic linking of preprints to their Version of Record, and the use of preprints as a vehicle to disseminate supplementary information and other non-traditional research outputs.
12:45pm - 1:15pm Indexing and Enabling Discovery
In June 2020, the National Library of Medicine launched the first phase of a pilot project designed to test the viability of making preprints resulting from research supported by the National Institutes of Health searchable in PubMed Central (PMC) and PubMed. The primary aim of the NIH Preprint Pilot is to increase early discoverability of NIH-supported research results, maximizing the possible impact of the research. Phase one has focused on preprints relating to the COVID-19 pandemic. This presentation will provide a snapshot of the pilot to date and consider the role of metadata and full-text searchability in preprint discovery, managing a scholarly "record of versions," and assessing the role of preprints in advancing scholarly communications.
1:15pm - 1:45pm Citation Practices and Analysis of Usage, Impact
The COVID-19-induced explosion of preprints has produced a corresponding explosion of citations to preprints. In the process of working with publishers to handle these citations in their publication workflows, our team discovered a series of editorial and production challenges around best practices for preprint metadata and preprint citations. In this talk, Bruce Rosenblum gives an overview of these challenges and potential solutions, illustrated with real-world examples.
1:45pm - 2:15pm Brief Break for Lunch, other tasks
2:15pm - 2:45pm Small Group Discussion
2:45pm - 3:30pm Case Studies
Case Study from Kyle Lo, AI2
Designing AI-infused reading interfaces for AI preprint consumption
In this two-part talk, we first examine the relationship between a particular academic community -- artificial intelligence (AI) -- and arXiv preprints. While scholars across many disciplines have long used preprints for faster dissemination of their research, slow peer review and short project life cycles have resulted in arXiv preprints filling an increasingly central role in how AI researchers do research. For example, AI researchers regularly stay up-to-date with arXiv preprints, use and cite them in their work, and may even prioritize arXiv-ing their paper rather than submit for peer review and publication.
In the latter half of this talk, we highlight ongoing research on improving the reading experience of AI research preprints on arXiv through augmented digital interfaces. Our work has been motivated by reading challenges related to consuming PDFs, the primary format for arXiv preprints, but has simultaneously been made possible by the open access nature of arXiv, especially its sharing of other useful data, like LaTeX source files.
Case Study from Leslie McIntosh, Ripeta
Automating Quality Indicator Checks in Preprint: Trust in the Integrity of Research
Preprints are core infrastructure for enabling the quick and broad sharing of research, which has been shown to advance science and allow us to collectively move towards solving scientific and social issues. Yet, the push towards public access has been followed by the growth of bad actors and bad science in the research realm. Some of misinformation and shoddy science has been cited or picked up by the news, further enabling a scientific trust issue. This presentation will highlight research recently completed by the Ripeta team on the trust in preprints, specifically highlighting approaches and tools leveraged to complete these automatic checks and the outcomes.
3:30 - 4:00pm Vision Interview (Richard Sever, CSHL, and Todd Carpenter, NISO)
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