Lightning Talk: Program Description Abstract
Practicing What We Preach: Making Our Own Research Data Open Access
Sunday, May 5
5:00 PM - 5:05 PM
Room: Columbus KL (East Tower, Ballroom/Gold Level)
Carrie Iwema, AHIP
Coordinator of Basic Science Services
University of Pittsburgh
Background : Data services librarians at a large academic health sciences institution deposited three datasets from their own research into figshare. The goals of this strategic decision were to: understand and document the workflow in order to assist researchers with their own deposits; facilitate requests to share the data; make unpublished results discoverable; track usage of the data; and model best practices to researchers and librarian colleagues. Given the new data sharing policy for the Journal of the Medical Library Association that will go into effect October 2019, we believe this last goal is of particular importance.
Description : The deposited datasets are from three separate projects relating to assessment of internal library services and the services offered by peer libraries. Two of the projects were approved and granted exempt status from the University’s Institutional Review Board (IRB). In order to deposit the datasets, make them reusable, and increase discoverability, a number of steps were taken including: detailing why and how the data was collected, uploading supplemental materials such as survey instruments and codebooks, ensuring de-identification of the data, assigning keywords and Medical Subject Headings to the dataset record, including the dataset citation on our curriculum vitae, and linking to the dataset from our institution’s data catalog.
Conclusion : Our first dataset was deposited in 2017 and since that time we have met all of our defined goals including knowledgeably answering several researcher questions about deposits into figshare and illustrating our own impact as researchers on annual faculty appraisals through tracking of growing dataset metrics (views, downloads, and citations). In this short presentation we will share our experiences and provide practical guidance for librarians who may have to deposit their own datasets in the near future.