NIH Experts on Implications of the New Data Management and Sharing Policy

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Please join the Love Data Week keynote webinar, “NIH Experts on Implications of New Data Management and Sharing Policy.” This 90-minute webinar will comprise a one-hour joint presentation by Taunton Paine from the NIH Office of Science Policy, Cindy Danielson from the NIH Office of Extramural Research, and Lisa Federer from the National Library of Medicine, followed by a 30-minute live Q&A session.

Love Data Week

Effective January 25, 2023, the National Institutes of Health (NIH) implements a new Data Management and Sharing Policy that requires all researchers seeking NIH funding to describe how they will manage and share their data.

This webinar will provide an overview of the policy, including DMS policy expectations, the applicability of the policy, how to prepare a Data Management and Sharing Plan, and considerations for sharing data responsibly. The talk will also touch on the role of libraries in helping researchers comply with the policy to make their research more reproducible, transparent, and reusable.

Register if you want to receive a reminder before the event, or you may join the webinar via the Zoom link:

Please use this survey link to pre-submit your questions to be answered live during a Q&A session following the webinar. Deadline to submit your questions is Jan. 31, 2023.

Cindy Danielson is Associate Director, Systems Integration in the Office of Research Reporting and Analysis, which is part of the Office of Extramural Research (OER) at the National Institutes of Health (NIH). Cindy supports the management of reporting tools used for program management and analysis by NIH staff and members of the public (including NIH RePORT and RePORTER) and coordinates Policy implementation plans. She first joined NIH in 2013 as an AAAS Science & Technology Policy Fellow in the National Institute of Nursing Research (NINR) Office of Science Policy and Legislation, where she analyzed and reported on NINR’s portfolio of research. She received her Ph.D. in cell and molecular biology from Northwestern University, where she focused on the cell biology of HIV and host cell defenses, and her undergraduate degree in psychobiology from the University of Southern California.

Lisa Federer is the Acting Director of the National Library of Medicine’s Office of Strategic Initiatives, serving as the principal advisor to the NLM Director for matters and programs concerning strategic directions of NLM, including open science, as well as analysis, evaluation, and reporting of and on NLM programs and activities. Prior to taking on this role, she served as NLM’s Data Science and Open Science Librarian. Before joining NLM, Lisa spent five years as the Research Data Informationist at the National Institutes of Health Library, where she developed and ran the Library’s Data Services Program. She holds a PhD in information studies from the University of Maryland and an MLIS from the University of California-Los Angeles, as well as graduate certificates in data science and data visualization.

Taunton Paine is the Director of the Scientific Data Sharing Policy Division. Taunton leads a team responsible for a broad array of issues relating to data sharing and access, including the NIH Policy for Data Management and Sharing, the NIH Genomic Data Sharing Policy, and management of the NIH Data Science Policy Council. Before becoming director of the division, Taunton led the clinical research policy team within the OSP Division of Clinical Research and Healthcare Policy. While there, he advised NIH leadership on matters related to the Common Rule, Certificates of Confidentiality, HIPAA, and other privacy and human participant protections issues. Taunton began his OSP career in 2011 and first worked on issues relating to biosecurity and dual use research of concern. He holds a dual master’s degree from Columbia University and London School of Economics and Political Science, where he studied the history of international relations.

February 14th, 2023 10:00 AM - 11:30 AM
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