New Year, New Policy: Crafting a HEAL-compliant Data Management & Sharing Plan

Thu, 12/1/2022 - 1:00pm - 2:00pm

Overview

Effective January 25, 2023, the new NIH Data Management and Sharing Policy requires submission of a Data Management and Sharing Plan with any new or current proposals involving scientific data generation. This requirement is in line with the NIH HEAL Initiative®’s requirements specified in the HEAL Public Access and Data Sharing policy. The NIH and HEAL commitment to ensure that each award in the HEAL Data Ecosystem effectively plans and implements data management and sharing will allow the HEAL Data Platform to serve as a powerful tool to catalyze scientific discovery and innovation, leading to improved treatments and outcomes for those affected by pain and opioid use disorders.

In this webinar, Mary Hannah Currin of the HEAL Data Stewardship Group will lead a presentation on preparing Data Management and Sharing Plans using the NIH template to comply with NIH and HEAL-specific requirements, providing tailored resources for HEAL awardees along the way. The webinar will also feature lightning talks from three data management experts, Jen Darragh of Duke University, Nina Exner of Virginia Commonwealth University Libraries, and Jim Martin of the University of Arizona Libraries. Terrell Russell of the HEAL Data Stewardship Group will then moderate a live Q&A session with the presenters.

Speakers

Mary Hannah Currin, MS, is a research data analyst in the Research Computing Division at RTI International. She has experience in clinical research recruitment and database management, having worked for over 4 years at the Carolina Institute for Developmental Disabilities (CIDD) coordinating recruitment efforts for a variety of research studies and managing several recruitment databases maintained by the CIDD. She also has experience in academic and specialized libraries and holds an ALA accredited degree in information science. She previously worked as the librarian for the Office of Air Quality Planning and Standards at the RTP campus of the EPA. She is a member of the HEAL Data Stewardship Group and helps develop guidance for data management, curation, and strategy.

Jen Darragh, MLIS, is a Senior Research Data Management Consultant in the Center for Data and Visualization Sciences at Duke University, where she provides training and consulting services designed around the research data lifecycle covering general best practices as well as special topics and tools. She also serves as one of the data curators for the research data program supported by the Duke Digital Repository. Prior to joining Duke University, she was the Data Services and Sociology Librarian at Johns Hopkins University, the Social and Behavioral Sciences Librarian at Virginia Commonwealth University, and the Data Archivist for the Population Research Institute at Penn State University. Throughout her career, she has gained particular expertise in the management, use, and archiving of sensitive social, behavioral, and health sciences data.

Nina Exner, PhD, MLS, MA, brings more than 20 years of experience as a practicing librarian in academic and health sciences libraries to Virginia Commonwealth University Libraries. As the Research Data Librarian, she brings to bear vast teaching interests and knowledge of best practices in managing research studies. She concentrates on graduate student and faculty support through teaching, consultation, scholarly communications, and collaboration with sponsored research professionals. Her expertise and teaching experience include grant writing. Her own research interests center around the organizational and information effects on developing researchers.

Jim Martin, MLS, is a Research Services Librarian in the University of Arizona (UA) Libraries Department of Research Engagement, specializing in data management practices and research data management tools. He also serves as the UA Libraries liaison for the UA College of Optical Sciences; the School of Geography, Development, and Environment; and the College of Science departments of Astronomy, Computer Science, Geosciences, Hydrology & Atmospheric Sciences, Mathematics, Physics, and Planetary Sciences/Lunar and Planetary Laboratory (LPL).

For More Information, Contact:

Julie Hayes at [email protected]

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