Increasing Data Discovery and Re-Use: The Space Life Sciences OntologyTwo of the most important goals of the adoption of the FAIR principles are increasing the ability of agents to find and re-use research data. Achieving these goals for space life sciences research is even more pressing, given the relatively expensive and scarce nature of these data. We have reported in the past on the progress made by exemplar life sciences data systems towards implementing FAIR, showing gaps particularly in the “interoperability area” of the principles; the lack of common conceptual models for space life science research is one reason for this gap. There were few available resources that define, annotate, categorize or otherwise relate various kinds of metadata describing the acquisition, nature, and intent of investigational space life sciences data. To address this gap, NASA is working with the Open Biological and Biomedical Ontology Foundry (https://obofoundry.org/) to develop the Space Life Science Ontology (SLSO) that is intended to support archival and other kinds of systems that operate using these data. The scope of the ontology includes concepts regarding those aspects of investigation design and execution specific or unique to space environments, such as types of specialized equipment, operating organizations, and documentation. The ontology is continually being developed and published to the life science community (https://github.com/nasa/LSDAO/); at the time of this publication, the SLSO newly and uniquely defines 30 types (classes), 90 properties, and 14 relations specific to space life sciences metadata. In addition, the SLSO reuses (imports) some 2,360 types (classes), 49 properties, and 393 relations from other ontologies that are relevant to these kinds of metadata. In addition to its role as a common conceptualization for space biomedical research activities, the SLSO can also be used to provide automated support for traditionally difficult and expensive activities such as data curation and cross-system data integration and analysis.
Document ID
20240014495
Acquisition Source
Ames Research Center
Document Type
Poster
Authors
Daniel C Berrios (Ames Research Center Mountain View, United States)
Sara C Jorgensen (KBR (United States) Houston, Texas, United States)
Rachel K Shoop (KBR (United States) Houston, Texas, United States)
Carlos De Los Santos (Johnson Space Center Houston, United States)
Danielle K Lopez (Wyle (United States) El Segundo, California, United States)
Alan E Wood (Wyle (United States) El Segundo, California, United States)
Gregory D Eley (Wyle (United States) El Segundo, California, United States)
Kathryn C Richards (KBR (United States) Houston, Texas, United States)
Olga V Kieschnick (Johnson Space Center Houston, United States)
Sigrid S Reinsch (Ames Research Center Mountain View, United States)
John H Dunn (Universities Space Research Association Columbia, United States)
Jessica A Keune (Johnson Space Center Houston, United States)
Diedre Thomas (KBR (United States) Houston, Texas, United States)
Date Acquired
November 14, 2024
Subject Category
Computer Programming and Software
Meeting Information
Meeting: Annual Meeting of the American Society for Gravitational and Space Research (ASGSR)
Location: San Juan, PR
Country: PR
Start Date: December 3, 2024
End Date: December 7, 2024
Sponsors: American Society for Gravitational and Space Research