FAIR data principles
E1587958
UNEXPLORED
FAIR data principles are a set of guidelines that ensure scientific data are Findable, Accessible, Interoperable, and Reusable to maximize their value and reuse.
All labels observed (1)
| Label | Occurrences |
|---|---|
| FAIR data principles canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T23473134 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FAIR data principles Context triple: [BioSample database, conformsTo, FAIR data principles]
-
A.
FAIR
FAIR (Facebook AI Research) is Meta's artificial intelligence research division focused on advancing the state of the art in machine learning and AI through open research and collaboration.
-
B.
Open FAIR
Open FAIR is a risk analysis and quantification framework that provides a standardized, quantitative approach to assessing and comparing information and operational risks.
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C.
The Data of Ethics
The Data of Ethics is a foundational section of Herbert Spencer’s ethical philosophy that examines the empirical and psychological bases of moral conduct.
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D.
Functional Requirements for Authority Data
Functional Requirements for Authority Data is an IFLA conceptual model that defines the functions, entities, and relationships needed to support authority control in library and bibliographic information systems.
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E.
OAIS reference model
The OAIS reference model is an ISO standard framework that defines concepts and responsibilities for the long-term preservation and access of digital information in archival systems.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FAIR data principles Target entity description: FAIR data principles are a set of guidelines that ensure scientific data are Findable, Accessible, Interoperable, and Reusable to maximize their value and reuse.
-
A.
FAIR
FAIR (Facebook AI Research) is Meta's artificial intelligence research division focused on advancing the state of the art in machine learning and AI through open research and collaboration.
-
B.
Open FAIR
Open FAIR is a risk analysis and quantification framework that provides a standardized, quantitative approach to assessing and comparing information and operational risks.
-
C.
The Data of Ethics
The Data of Ethics is a foundational section of Herbert Spencer’s ethical philosophy that examines the empirical and psychological bases of moral conduct.
-
D.
Functional Requirements for Authority Data
Functional Requirements for Authority Data is an IFLA conceptual model that defines the functions, entities, and relationships needed to support authority control in library and bibliographic information systems.
-
E.
OAIS reference model
The OAIS reference model is an ISO standard framework that defines concepts and responsibilities for the long-term preservation and access of digital information in archival systems.
- F. None of above. chosen
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.