If You Share It, Will They Come? Quantifying and Characterizing Reuse of Biomedical Research Data
Description: Since the mid-2000s, new data sharing mandates have led to an increase in the amount of research data available for reuse. Reuse of data benefits the scientific community and the public by potentially speeding scientific discovery and increasing the return on investment of publicly funded research. However, despite the potential benefits of reuse and the increasing availability of data, research on the impact of data reuse is so far sparse. This talk will provide a deeper understanding of the impacts of shared biomedical research data by answering the question “what happens with datasets once they are shared?”
Specifically, this talk will demonstrate that data are often reused in very different contexts than for which they were originally collected, as well as explore how patterns of reuse differ between dataset types. This talk also considers patterns of data reuse over time and the topics of the most highly reused datasets to determine whether it is possible to predict which datasets will go on to be highly reused over time. Finally, career stage and geographic location of data reusers provide an understanding of who benefits from shared research data. These findings have implications for several stakeholders, including researchers who share data and those who reuse it, funders and institutions developing policies to reward and incentivize data sharing, and repositories and data curators who must make choices about which datasets to curate and preserve.
Lisa Federer, PhD, MLIS is the Data Science and Open Science Librarian at the National Library of Medicine (NLM), focusing on developing efforts to support workforce development and enhance capacity in the biomedical research and library communities for data science and open science. Prior to 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. Her research focuses on quantifying and characterizing biomedical data reuse and development of meaningful scholarly metrics for shared data.
Oct 2, 2019
2:00PM - 3:00PM ET
The NNLM Research Data Management (RDM) webinar series is a collaborative, bimonthly series intended to increase awareness of RDM topics and resources. The series aims to support RDM within the library to better serve librarians and their institutional communities. Topics include, but are not limited to, understanding a library’s role in RDM, getting started, data management planning, and different RDM tools.
Several NNLM Regional Medical Libraries will collaborate and combine efforts to feature experts from the field for this national webinar series. Each session will include separate objectives based on the featured webinar presenter. Attendee participation will be possible through the WebEx platform chat features and other electronic methods designed by the guest presenter. Sessions are recorded, closed captioned, and posted for later viewing.
Each session will last approximately 1 hour and 1 MLA CE contact hour will be offered per session. CE contact hours will only be available during the live presentations of the webinar.
- Explain how a tool or resource can be utilized within Research Data Management
- Illustrate and discuss potential role(s) in which librarians or libraries can support Research Data Management
- Facilitate the creation of RDM plans and programs