Data Curation Network Seminar Series: Introduction to Data Curation & Services for Researchers
Date: Wednesday, April 06, 2022
Time: 1:00 p.m. to 2:00 p.m. ET
Type of event: Seminar Series
Speaker(s)“Life Rafts in a Sea of Data: The Role of Librarians in Supporting Data Sharing”
- Jake Carlson, Director of the Deep Blue Repository and Research Data Services (DBRRDS) Department at the University of Michigan (U-M) Library
- Mikala Narlock, Assistant Director of the Data Curation Network, University of Minnesota
- Peace Ossom-Williamson, Associate Director of the National Center for Data Services, The Network of the National Library of Medicine
The NIH Office of Data Science Strategy (ODSS), in partnership with the National Library of Medicine (NLM), is organizing an event series led by the Data Curation Network (DCN). DCN is a project funded by the Alfred P. Sloan Foundation, comprised of professional data curators, data management experts, data repository administrators, disciplinary scientists, and scholars from academic institutions and non-profit data repositories that steward research data for future use. To prepare for the implementation of the NIH Data Management and Sharing Policy, researchers will need to gain new skills in managing and sharing their data. This event series will provide provide new approaches, methods, and best practices from representatives of the Data Curation Network on management, curation, and sharing to promote transparency, reproducibility, and reuse of research data. The first event in the series will educate researchers broadly about DCN experts, their services, the role of institutional libraries, and curation resources. Subsequent events will focus on other stakeholders – program officers, other community researchers, and repository owners – to provide training and access to resources, including a bring-your-own-data curation workshop. This is expected to help the NIH research community better manage and prepare their data, making it more useful and usable for others. The content generated from this series will be also made available online as self-paced training material for broader use.
Learn more on the NIH ODSS website.