FAIR guiding principles - Revision history

Valerias at 13:06, 2 November 2020

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			An important aspect of FAIR is that data or metadata, generally speaking, does not exist in a silo ...
			To be FAIR with respect to principle I3, the data could contain links to a resource containing city data
			(e.g., Wikidata), geographical and geospatial data, or other related domain resources that are generated by that city, so long as they are properly qualified references using meaningful,clearly-interpretable relationships.

			It is worth noting as an example that several “upper ontologies” such as the SemanticScience Integrated
			Ontology have a wide range of precisely-defined relationships that can be used as-is, or as a starting-point
			for a newly-minted relationship that is more specific than the one provided in the upper-ontology. The
			benefit of “inheriting” from higher-level relationships is that agents capable of understanding these higher
			level concepts, can infer at least a basic interpretation of the intent of the new relationship coined within
			the community, and therefore enhances interoperability.
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			I2, ..., requires that the vocabulary terms used in the knowledge representation language (principle I1) can be sufficiently distinguished, by a machine, to ensure detection of “false agreements” as well as “false disagreements”.

			Ontologies defined in the “Web Ontology Language” (OWL) and shared via a publicly accessible registry
			(e.g. BioPortal for life science ontologies) are examples of formally represented, accessible, mapped, and
			shared knowledge representations in a broadly applicable language for knowledge representation, that are
			also compliant with the Findability requirements of FAIR, since BioPortal provides a machine-accessible
			search interface.

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 efforts are underway to improve the long-term stewardship of reusable digital resources.
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2020-11-02T08:34:39Z

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			For [[#A2]]:
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			... given that those data may have been used and are referenced by others, it is important that consumers have,
			at the very least, access to high quality metadata that describes those resources sufficiently to minimally understand their nature and their provenance, even when the relevant data are not available anymore. This principle relies heavily on the “second purpose” of principle F3 (the metadata record contains the identifier of the data), because in the
			case where the data record is no longer available, there must be a clear and precise way of discovering its
			historical metadata record....Examples of early attempts to address this critical principle relates closely to the principles of digital curation including the concept of a FAIR compliant DMP (Data Management Plan). Many other
			efforts are underway to improve the long-term stewardship of reusable digital resources.
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 does not preclude non-mechanized access protocols, such as a verbal request to the data holder in the
 case of highly sensitive data, so long as the access protocol is explicit and clearly defined.
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 '''For [[#F4]]:'''
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2020-11-02T07:52:36Z

2020-11-02T07:51:57Z

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			It is a challenge to each community to choose a machine-actionable metadata model that explicitly links
			a resource and its metadata.
			An example of a technology that provides this link is FAIR Data Point, which is based on the Data
			Catalogue model (DCAT) that provides not only unique identifiers for potentially multiple layers of
			metadata, but also provides a single, predictable, and searchable path through these layers of descriptors,
			down to the data object itself.
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