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 followed up on the 2019 preprint event sponsored by NISO. What progress has been made?
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
Technical Information Specialist - US National Library of Medicine/National Institutes of Health
Senior Applied Research Scientist, Allen Institute for Artificial Intelligence (AI2)
Kyle Lo (@kylelostat) is a research scientist at the Allen Institute for AI on the Semantic Scholar team, where he works on NLP for scientific text with emphasis on literature discovery, knowledge extraction, and document understanding. He is the co-creator of open datasets for scientific text mining, like CORD-19 and S2ORC, and large modeling resources, like SciBERT. He is also an organizer of the SciNLP and Scholarly Document Processing workshops and the TREC-COVID, EPIC-QA, and SCIVER shared tasks. His work on domain adaptation of language models for science was runner-up for best paper at ACL 2020, and his works on paper summarization, scientific fact checking, and sex bias identification have been featured in MIT Tech Review, Nature, Quartz, VentureBeat, and others. Kyle has an MS in Statistics from the University of Washington.
Assistant Director, Cold Spring Harbor Press, Co-founder of medRxiv and bioRxiv