Objectives: Ontologies facilitate a common understanding of biomedical concepts and enable data discovery, access and reuse. Although they play a key role in research, ontologies and other language-based organizational systems are oftentimes misunderstood, in particular by researchers that are new to data science. We have created an online research guide to support researchers who need to understand, create, or use ontologies.
Methods: A survey of existing research guides determined that although ontologies were mentioned in some guides, there was no comprehensive guide available to support researchers who need to understand, create, or use ontologies.
A comprehensive research guide for biomedical ontologies was developed to fill this gap. This guide presents and defines ontologies and other language-based organizational systems such as controlled vocabularies and codesets, and presents a curated list of resources to support their development and use. The guide also lists and describes the main biomedical ontologies and terminologies, and provides resources for researchers interested in developing a domain-specific ontology, including links to tools, training, and other information.
An overview of the concepts and content of the guide and an assessment of the guide's usefulness and impact will be presented, as well as plans for future additions to the guide.
data access and reuse
Taubman Health Sciences Library
Ann Arbor, MI
Lynne Frederickson, MA, is an Informationist at the University of Michigan Taubman Health Sciences Library. Her area of focus is data standards, medical terminologies, and their applications for research. Lynne is an early-career librarian with a background in software quality assurance and clinical quality measurement, and she is excited to be attending her first MLA conference.
Tuesday, May 30
3:15 PM – 3:20 PM
The asset you are trying to access is locked. Please enter your access key to unlock.