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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.
Featured publication
2022
Ontologies in the Behavioral Sciences: Accelerating Research and the Spread of Knowledge describes how ontologies support science and its application to real-world problems. That report details how ontologies function, how they can be engineered to better support the behavioral sciences, and the res...
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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
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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)