페이지 이력

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Here, the scientific community focuses on what they are most interested in and most enjoy doing (i.e., address scientific hypotheses with data analysis and interpretation) and the infrastructure guarantees that their data are FAIR^[3] i.e., findable and accessible by systematic and automated acquisition and cataloguing; interoperable by using a formal, accessible, shared, and broadly applicable language for knowledge representation and vocabularies that follow FAIR principles; and reusable by rich description of data using domain-relevant community vocabularies and by their release with a clear data usage license.

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