FAIRmaterials: Ontology Tools with Data FAIRification in Development
Journal Article
·
· Journal of Open Source Software
- Case Western Reserve Univ., Cleveland, OH (United States); Materials Data Science for Stockpile Stewardship Center of Excellence (MDS3), Cleveland, OH (United States)
- Materials Data Science for Stockpile Stewardship Center of Excellence (MDS3), Cleveland, OH (United States)
The bilingual FAIRmaterials package simplifies the creation and visualization of materials and data science ontologies. FAIRmaterials, available in the Python and R languages, addresses the complexities associated with traditional ontology editors based on manual user input such as Protege with an intuitive workflow and easy-to-use templates, making it accessible to users both experienced and inexperienced with ontologies. The FAIRmaterials package is its ability to programatically convert simple and structured CSV inputs into rich, well-defined ontologies. This capability is designed to support the findability, accessibility, interoperability, and reusability (FAIR) of research data and serve as a tool in the process of data FAIRification. Its additional features, such as automated ontology merging, static visualizations, and comprehensive documentation for outputs extend its utility, making it a valuable tool for any researcher engaged in knowledge management.
- Research Organization:
- Case Western Reserve Univ., Cleveland, OH (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
- Grant/Contract Number:
- EE0009347; EE0009353; NA0004104
- OSTI ID:
- 3014336
- Journal Information:
- Journal of Open Source Software, Journal Name: Journal of Open Source Software Journal Issue: 117 Vol. 11; ISSN 2475-9066
- Publisher:
- Open Source Initiative - NumFOCUSCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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