This webcast is designed to provide health sciences librarians with an introduction to data management, including how data are used within the research landscape, and the current climate around data management in biomedical research. Three librarians working with data management at their institutions will present case studies and examples of products and services they have implemented, and provide strategies for and success stories about what has worked to get data management services up and running at their libraries.
Part I: Theory: What is Data Management?
- Introduce theoretical framework of the Data Lifecycle
- More than big data! Data is as diverse as research
- Funder requirements + reproducibility
- Understanding communities working with data
Part II: Case Studies: Opportunities for Librarians
- Many ways to get involved
- Specific Case Studies: Data Visualization Program;RDM in RCR classes/graduate curricula; Data catalog, metadata lab tool service, Informationist projects.
Part III: How YOU can do it: Strategies
- Approaches and Resources
Lisa Federer, AHIP, currently serves as research data informationist at the National Institutes of Health Library, where she provides training and support in the management, organization, and reuse of biomedical research data. She is the author of several peer-reviewed articles and an e-book on new roles for librarians in supporting research and data management. A member of MLA since 2009, she has served the organization in a variety of capacities at the national and local level, including as a member of the MLA Futures Task Force (January 2013–October 2014), an MLA ’12 blog correspondent, and chair of the Plenary Speaker Committee for the Medical Library Group of Southern California and Arizona/Northern California and Nevada Medical Library Group 2013 Joint Meeting. She holds a master’s of library and information science from the University of California–Los Angeles and a master’s of arts in English from the University of North Texas.
Kevin Read is the knowledge management librarian at the New York University (NYU) Health Sciences Library. He is a former National Library of Medicine (NLM) Associate Fellow, where he collaborated with the National Institutes of Health (NIH) Big Data to Knowledge initiative to inform the development of a national Data Discovery Index for NIH-funded research data. He has presented and disseminated this work at conferences as well as workshops in the United States, Canada, and the United Kingdom. Currently, Read provides research data management training to librarians at the MLA annual meeting and to biomedical faculty, researchers, and students at the NYU Langone Medical Center. He coleads data management related projects at his library including a data catalog for biomedical datasets and a lab organization tool for basic science researchers. Finally, Read is currently supporting two of the informationist supplement grants NLM offers to address the specific data management needs of researchers.
Jacqueline Wirz directs the Professional Development Center and Graduate Student Affairs at Oregon Health & Science University (OHSU) –Portland and is the research data specialist and an assistant professor at the OHSU Library. She earned her doctoral degree from OHSU in biochemistry and molecular biology and has a bachelor’s from Oregon State University in biochemistry and biophysics. Her research career has spanned fifteen years and has covered diverse topics such as transcriptional regulation, macromolecular structure determination, collagen biophysics, and DNA repair. Her professional interests include information, data, and knowledge management, as well as the publishing paradigms of researchers. She lectures on a variety of topics including professional skills development, data management, scholarly publication ethics, research impact and semantic technologies, National Center for Biotechnology Information resources, and research communication. Wirz is a strong proponent of science outreach and has developed programs and grants designed to promote scientific, data, and information literacy. Wirz believes in evolution, salted caramel buttercream, and Jane Eyre.