Skip to main content

Accelerating Behavioral Science Through Ontology Development and Use

Completed

Scientific ontologies are systems and/or knowledge structures that specify concepts of science with agreed-upon labels and definitions and provide a framework for complex relationships among the concepts. Ontologies support efficient knowledge generation, organization, reuse, integration, and analysis. The goal of this consensus study is to review the role of ontologies in the behavioral sciences, assess their potential to accelerate behavioral science research, and identify gaps and challenges, and offer conclusions and recommendations for strengthening behavioral ontologies.

Description

An ad hoc committee of the National Academies of Sciences, Engineering, and Medicine will gather, review, and discuss the literature on the development of ontologies in scientific disciplines with a focus on developing the same in the behavioral sciences. The committee will:

  • Analyze the literature including a) definitions of components and requirements of ontology development and use; b) highlights of existing or emerging ontologies in the behavioral sciences, their respective advantages and disadvantages, and how they are currently used or could be used; c) descriptions of how ontology use and development in the behavioral sciences can accelerate discovery and enhance replicability and reproducibility.
  • Synthesize the advantages and obstacles for behavioral ontology development and use, including provision of compelling-use cases that illustrate the need. The use cases should be related to NIH’s high priority areas which must be applicable to human health, of trans-disease relevance, and linkable to valid behavioral measures.
  • Identify recommended approaches to building behavioral ontologies that are both rigorous and practical to maximize utility and uptake, as well as scientific relevance. This includes recommendations about linking behavioral ontologies across behavioral domains/constructs and to existing biomedical ontologies.
  • Draw conclusions and provide recommendations for improving behavioral ontology advancement including:

o Best practices and parameters for ontology development
o Resource, infrastructure and training needs
o Governance principles
o Identification of high priority research areas
o Recommendations for enhancing uptake and use in behavioral research
o Recommendations for sustainability of the ontologies

Collaborators

Committee

Chair

Member

Member

Member

Member

Member

Member

Member

Member

Member

Member

Member

Member

Member

Member

Member

Sponsors

American Psychological Association

Association for Psychological Science

Federation of Associations in Behavioral & Brain Sciences

National Cancer Institute

National Institute on Aging

National Library of Medicine

National Science Foundation

NIH Office of Behavioral and Social Sciences (OBSSR)

Staff

Alexandra Beatty

Lead

ABeatty@nas.edu

Tina Winters

TWinters@nas.edu

Ashton Ray

JRay@nas.edu

Subscribe to Email from the National Academies
Keep up with all of the activities, publications, and events by subscribing to free updates by email.