FAIR Principles: data management for humans and machines
DOI:
https://doi.org/10.5753/compbr.2021.46.4413Keywords:
FAIR Principles, Research Data Management, Data Base, Ontologies, Artificial IntelligenceAbstract
The FAIR principles are a set of 13 best practices that aim to guide research data management and associated metadata, in particular, to prepare the data for Artificial Intelligence (AI) applications – thus, being readable and actionable by humans and machines. The implementation and experimentation of supporting technologies for these principles have been occurring on a global scale, with the relevant participation of Brazilian researchers, especially in relation to leveraging data interoperability and reuse. The objective of this article is to present trends and challenges of these technologies, as well as on the approaches adopted in FAIR data management.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
