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Description

Abstract:
Clinical and translational research studies increasingly involve the manipulation of large datasets. There is a critical need to develop metadata-driven informatics technology to both lower the effort required for, as well as incentivize the process of applying metadata in clinical and translational research. The NIH Big Data to Knowledge (BD2K) initiative seeks to develop an interactive data ecosystem through adopting the FAIR principles (i.e., data must be findable, accessible, interoperable and reusable), and is supporting various technology platforms in these contexts to make it easier for researchers to share their data with the community so that it can broadly benefit the community. This thematic panel will highlight five projects funded through the BD2K initiative that are developing technology infrastructure and tools for metadata management, standardization and applications. Attendees will learn about novel open source metadata informatics platform, and how data/metadata standards are used in data sharing platforms. Attendees can engage with panelists on metadata challenges and potential solutions in support of clinical and translational research applications.

Learning Objective 1: Attendees will learn about novel open source metadata informatics platform.

Learning Objective 2: Attendees will learn about how data/metadata standards are used in data sharing platforms

Learning Objective 3: Attendees can engage with panelists on metadata challenges and potential solutions in support of clinical and translational research applications

Authors:

Guoqian Jiang (Presenter)
Mayo Clinic

Walter Campbell (Presenter)
University of Nebraska Medical Center

Timothy Clark (Presenter)
Massachusetts General Hospital

Cui Tao (Presenter)
UTHealth

Mark Musen (Presenter)
Stanford University

Presentation Materials:

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