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 COVID-19 is an emerging, rapidly evolving situation.

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Friday, April 24, 2020

NIH to Host Webinar on Sharing, Discovering, and Citing COVID-19 Data and Code in Generalist Repositories on April 24

NIH to Host Webinar on Sharing, Discovering, and Citing COVID-19 Data and Code in Generalist Repositories on April 24

The National Library of Medicine (NLM) at the National Institutes of Health is hosting a free webinar for researchers to learn how to share, discover, and cite COVID-19 data and code in generalist repositories on April 24 from 2-3:45 p.m. ET.

The biomedical research community’s understanding of the novel coronavirus and the associated coronavirus disease (COVID-19) is rapidly evolving. Open science and the timely sharing of research data have played a critical role in advancing our understanding of COVID-19 and accelerating the pace of discovery.

Researchers will have an opportunity to hear from multiple generalist repositories about the ways each repository is supporting discoverability and reusability of COVID-19 data and associated code. The NLM will also provide an overview of available COVID-19 literature.

The webinar will be available via NIH VideoCast. Questions may be submitted via Sli.do; if prompted for an event code, use #NIHData. 

The webinar will be recorded and available a few days after the live event.

Agenda
Time Presentation
 2:00 Introduction
Susan Gregurick, NIH Associate Director for Data Science and Director, Office of Data Science Strategy
 2:10 Vivli
Ida Sim, Technical Lead
 2:20 Figshare
Mark Hahnel, Founder and Chief Executive Officer
 2:30 GitHub
Greg Ceccarelli, Senior Manager, Data Science
 2:40 Dryad
Daniella Lowenberg, Dryad Product Manager
 2:50 Zenodo
Tim Smith, Head of Collaboration, Devices and Applications Group
 3:00 Harvard Dataverse
Mercè Crosas, Chief Data Science and Technology Officer, Institute for Quantitative Social Science
 3:10 Mendeley Data
Wouter Haak, Vice President, Research Data Management Solutions, Elsevier
 3:20 NLM
Kathryn Funk, Program Manager, PubMed Central
3:30 Q & A Session
3:45 Close

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