Dr. Mark Musen presented CEDAR: Better Data Sharing Through the Authoring of Better Metadata at the 2016 American Medical Informatics Association conference in Chicago.
The presentation was a Systems Demonstration in Salon A-3 from 10:30 AM to 11:15 AM on Tuesday, November 15. Dr. Musen presented slides describing the context and goals of the CEDAR Project, and CEDAR Technical Lead Martin O'Connor demonstrated the capabilities and advantages of the CEDAR system (per the workflow below).
Abstract: The ability to find and access biomedical datasets that are stored in online repositories depends on the quality of the associated metadata. There is a growing set of community-developed standards for defining such metadata—often in the form of metadata templates. The practical difficulties of working with these templates are tremendous, however. The Center for Expanded Data Annotation and Retrieval (CEDAR) is developing technologies to assist in the management of biomedical metadata. By discovering patterns in existing metadata and by linking templates to biomedical ontologies, CEDAR is assisting the authoring of new, high-quality metadata. The availability of comprehensive and expressive metadata will facilitate data discovery, interoperability, and reuse.
Learning Objective 1: To understand how structured representation of biomedical metadata may make online data sets more findable, accessible, interoperable, and reusable.
Learning Objective 2: To observe how a system based on structured representation of biomedical metadata may be implemented.