Information Management

Paper: Program Description Abstract

Creating Institution-Specific Resources on Data Transfer and Data Sharing

Sunday, May 5
5:05 PM - 5:20 PM
Room: Columbus GH (East Tower, Ballroom/Gold Level)

Background : Librarians identified researcher confusion about institutional data sharing policies and supported data transfer technologies through regular library consultations at an academic medical center. Researchers voiced concerns about de-identification, the need for data sharing agreements, data ownership, and tools to transfer both protected and non-protected data. To address a lack of transparency about institutional data policies, a librarian partnered with General Counsel and Research IT to develop resources and classes to render institutional data sharing policies and technology more discoverable. The process of building these resources coincided with collaborative efforts to update institutional data transfer policies and practices.
Description : Librarians initiated a collaboration with General Counsel to address a lack of researcher awareness about data sharing and transfer policies. Librarians and General Counsel took several approaches to solve the issue: (1) convene a working group, (2) develop and co-teach a class on data transfer at the institution; (3) create a guide about institution specific policies and supported tools. The working group included staff and leadership from Research IT, the Office of Science and Research, and Basic Science Operations. The class on data transfer included lectures on policies and tools as well as case studies from the institution's history. The guide includes an interactive tutorial to guide researchers through institutional procedures for sharing their research data as well as information on data de-identification, repositories suitable for data sharing, and how to make their data discoverable via the institution’s data catalog.
Conclusion : Evaluation forms were collected at the end of the data transfer class. All attendees said that they would use the class material in their work, and all attendees said that they would recommend the class to others. Furthermore, all attendees said that they would be interested in classes on related advanced topics. Additional outcomes that will be measured include usage statistics for the online guide on institution specific policies, integration of the online guide into institutional workflows, and ongoing class evaluation data.

Nicole Contaxis

Data Catalog Coordinator
NYU Health Sciences Library
New York, New York

Nicole Contaxis, MLIS, is the NYU Data Catalog Coordinator at the NYU Health Sciences Library. She works alongside researchers to make research data discoverable. Her main responsibilities include planning and conducting outreach events, curating metadata in the catalog, and collaborating with other medical librarians through the Data Catalog Collaboration Project. Her areas of interest include data sharing, data ethics, and community engagement. She received her MLIS degree from UCLA and is currently pursuing an MA in Bioethics at NYU.

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Lee Taylor

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Alisa Surkis

Assistant Director, Research Data and Metrics/Vice Chair for Research
NYU Health Sciences Library
New York, New York

Alisa Surkis, PhD, MLS is the Assistant Director for Research Data and Metrics and the Vice Chair for Research at the NYU Health Sciences Library. She serves as a co-Director for Team Science and leads the Workforce Data Capacity Core within the Biomedical Informatics Program for the NYU Clincical and Translational Science Institute. She is the Data Science Core Director for an NIH BRAIN Initiative funded project on Oxytocin Modulation of Neural Circuit Function and Behavior.

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Kevin Read

Lead, Data Discovery and Data Services Librarian
NYU Health Sciences Library
New York, New York

Kevin Read, MLIS, MAS is the Lead of Data Discovery and Data Services Librarian at NYU Langone Health. He leads the NYU Data Catalog project; an initiative to make research datasets created and used by NYU researchers more discoverable. He also leads the Data Catalog Collaboration Project, a multi-site collaboration consisting of eight academic institutions working to improve the discoverability of institutional research data using the NYU Data Catalog model.

Beyond his data discovery efforts, Kevin provides training and research support to faculty, residents, students and staff on topics including: clinical research data management, REDCap, reproducibility, and data sharing.

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