Information Management

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)

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the workflow in order to assist researchers with their own deposits; facilitate requests to share the data; make unpublished results discoverable; track usage of the data; and model best practices to researchers and librarian colleagues.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.


Melissa Ratajeski, AHIP

Coordinator of Data Management Services
University of Pittsburgh
Pittsburgh, Pennsylvania

Melissa A. Ratajeski is the Coordinator of Data Services and liaison to the Institutional Animal Care and Use Committee at the Health Sciences Library System, University of Pittsburgh. In this role, she provides support and training for researchers at each stage of the data lifecycle. Before receiving her Masters in Library and Information Science, Melissa was a Research Coordinator within the Department of Neurobiology/Center for the Neural Basis of Cognition, at the University of Pittsburgh School of Medicine.


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Carrie L. Iwema, AHIP

Coordinator of Basic Science Services
University of Pittsburgh
Pittsburgh, Pennsylvania

Carrie Iwema, PhD, MLS, AHIP is the Coordinator for Basic Science Services for the Health Sciences Library System at the University of Pittsburgh. As a member of the Molecular Biology Information Service she provides bioinformatics support and training for researchers, helping them to access and use specialized analytical tools and databases. As a member of the Data Services team she teaches classes on electronic lab notebooks and data management plans, which led to her receiving a secondary faculty appointment with Pitt's Clinical and Translational Science Institute. Also, Carrie created and runs a workshop series entitled "How-To Talks by Postdocs" that provides postdoctoral researchers an opportunity to develop and teach classes within the library. In addition to her library degree, Carrie has a PhD in Neuroscience and completed five years as a postdoc in the department of Neurosurgery at the Yale School of Medicine. She is a member of the Academy of Health Information Professionals and is actively involved in the Medical Library Association, where she is currently a member of both the Education Steering Committee and the Annual Meeting Innovation Task Force.


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Practicing What We Preach: Making Our Own Research Data Open Access

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