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The Radiation Biology Ontology: A New Tool Supporting FAIR Principles Across Radiation Biology Facilitating Data Discovery and IntegrationDevelopment of the Radiation Biology Ontology (RBO) was motivated by the need for a comprehensive, well-structured ontology for encoding radiation biology metadata.

The primary use-cases were archiving data in the STORE database (https://www.storedb.org/), the repository for the RadoNorm Project, and in GeneLab (https://genelab.nasa.gov), NASA’s ‘omics database. The scope of radiobiology research ranges from physics to radiation
oncology to socio-legal studies; no existing ontology has the necessary breadth or depth. In addition, a formal ontology has the advantage of being usable for machine learning and, importantly, for tasks like data integration, knowledge extraction from the scientific literature and for query extension and data classification.

Standardisation of metadata is one of the primary objectives of the FAIR principles for open data; RBO is an important landmark for FAIR radiation biology data.
Document ID
20220014808
Acquisition Source
Ames Research Center
Document Type
Poster
Authors
Daniel Berrios
(Ames Research Center Mountain View, California, United States)
Luke T. Slater
(University of Birmingham Birmingham, United Kingdom)
Jack Miller
(Wyle (United States) El Segundo, California, United States)
Kristen Peach
(Bionetics (United States) Yorktown, Virginia, United States)
Sylvain V. Costes
(Ames Research Center Mountain View, California, United States)
Paul N. Schofield
(University of Cambridge Cambridge, United Kingdom)
Date Acquired
September 30, 2022
Subject Category
Life Sciences (General)
Computer Systems
Documentation And Information Science
Meeting Information
Meeting: European Radiation Protection Week (ERPW) 2022
Location: Estoril
Country: PT
Start Date: October 9, 2022
End Date: October 14, 2022
Sponsors: European Radiation Dosimetry Group
Funding Number(s)
CONTRACT_GRANT: NNA14AB82C
CONTRACT_GRANT: 900009
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Single Expert
Keywords
ontology
radiation science
radiation biology
knowledge acquisition
semantic web
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