BioIT 2020 Talk - A Common Data Model

A Common Data Model Proposal to Facilitate and Encourage Data Sharing and Reuse

Biomedical researchers have access to many data sources, but finding data with specific characteristics remains a challenge. Datasets have different metadata, format, and structure. At the Broad Institute, we envision a simpler and more comprehensive search capability to allow researchers to find and reuse data across many datasets. We propose a cross-domain data model built specifically to facilitate search and reuse. We share our methods, lessons learned, and status.

Presenter: Kathy Reinold, Principal Data Modeler, Broad Institute of MIT and Harvard

00:00:00 - Introduction: challenges for finding and searching data
00:00:00 - Vision for data search based on FAIR principles
00:06:02 - Developing a data model in collaboration with the scientific community
00:10:30 - Developing a concept map with IHMC Cmap
00:11:30 - Building a formal model
00:13:30 - What is a BioSample
00:15:25 - Challenges in creating a data model
00:16:58 - Current status and future plans

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