November 13, 2014 - 10:00am PST
Building a Data Catalog: Promoting Data Reuse and Collaboration at an Academic Medical Center - Kevin Read, Alisa Surkis
Abstract
The NYU School of Medicine has implemented a data catalog in order to promote data reuse and to foster collaboration within the institution, across all NYU schools, and with the broader research community. The initial implementation reflects the original use case of facilitating local access to and use of large public and licensed external datasets (e.g. census, national health surveys). Current efforts to add institutional datasets are focused on the medical center, and will expand to include other NYU schools through cross-campus collaboration. The catalog will add a discovery component to institutional plans to provide storage and access for analysis datasets pulled from the EHR. The catalog metadata was informed by existing NIH repository metadata schemas. We will discuss our current efforts and strategies for growth, promotion, and maintenance of the catalog.
Slides: biocaddie_datacatalog.pdf
Video Link: https://www.youtube.com/watch?v=vyoktsm6JuY&feature=youtu.be
Bios
Kevin Read, MLIS, MAS is the Knowledge Management Librarian at the NYU School of Medicine where he works to develop services and tools to support research data management and sharing. Before his position at NYU, Kevin was an Associate Fellow with the National Library of Medicine, where he worked closely with the Big Data to Knowledge (BD2K) initiative to inform initial efforts for the NIH Data Discovery Index. There, he performed research to inform efforts to improve the discoverability and access to biomedical datasets by providing a preliminary estimate of the number and types of datasets generated by NIH-funded researchers each year.
Alisa Surkis
Alisa Surkis is the Translational Science Librarian at NYU School of Medicine. Her work centers around supporting the mission of the NYU Clinical and Translational Science Institute through development of services and tools that promote and support data management and sharing, team science, and research efficiency. She is also one of the creators of the video “Data Sharing and Management Snafu in 3 Short Acts”. She received an MS in Physics from Stanford University, a PhD in Neural Science from NYU, and an MLS from Queens College, CUNY.