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FAIR data

FAIR data is data which meets the 2016 FAIR principles of findability, accessibility, interoperability, and reusability, first formally published in 2016 .

Works, Standards & Science

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Explore the main themes, entities and connections around FAIR data. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Acceptance and implementation

2016 G20 Hangzhou summitG20CODATAAssociation of European Research LibrariesHorizon Europe
9 related topics

Complementary frameworks

CARE principlesEuropean Open Science Cloud
2 related topics

FAIR maturity levels

Research Data AllianceJSON SchemaXML SchemaSHACLShEx
5 related topics

Challenges in implementation

ThesauriTaxonomiesOntologiesGeosciencesGeoreferencing
5 related topics

Topics to explore

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Overview

FAIR principles published by GO FAIR

Origins and publication

FAIR maturity levels

Acceptance and implementation

Complementary frameworks

Challenges in implementation

Advanced semantic analysis

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Map overview Semantic statistics

FAIR data

Nodes37
Edges36
Triples59
Avg. degree1.95
Density0.054054
Components1

How this topic connects Entity context

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FAIR data

Top relations

related to Acceptance and implementation · 28
FAIR data → Also, At, Australia's Research Outputs, Australian, CODATA, CODATA's, Coordination Office, Data, Decadal Programme, European Research Libraries, FAIR, FAIR Access, FAIR Data Maturity Model, France, G20, G20 Hangzhou, Germany, GO FAIR International Support, In, Making
related to Challenges in implementation · 16
FAIR data → Assessment Tool, Data Maturity Model Working, F-UJI Automated FAIR Data, FAIR, FAIR Maturity Evaluation Service, FAIRness, FAIRsFAIR, FAIRSharing, For, Group FAIR, In, Interoperability, It, Making, Not, Numerous
related to FAIR maturity levels · 8
FAIR data → FAIR, FAIR Data Maturity Model, FAIRness, RDA, The FAIR, The Research Data Alliance, This, Working Group
related to External links · 7
FAIR data → Dutch Techcentre, FAIR, FAIRy, GO FAIR, Life SciencesGO FAIR, Principles, Semantic Publishing

Important terminology Word statistics

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Important terminology

data fair principles metadata research also meta published community digital maturity interoperability guidelines reuse use management level humans open using

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
FAIR datarelated to Acceptance and implementationAt0.60section
FAIR datarelated to Acceptance and implementationG20 Hangzhou0.60section
FAIR datarelated to Acceptance and implementationG200.60section
FAIR datarelated to Acceptance and implementationFAIR0.60section
FAIR datarelated to Acceptance and implementationAlso0.60section
FAIR datarelated to Acceptance and implementationAustralian0.60section
FAIR datarelated to Acceptance and implementationStatement0.60section
FAIR datarelated to Acceptance and implementationFAIR Access0.60section
FAIR datarelated to Acceptance and implementationAustralia's Research Outputs0.60section
FAIR datarelated to Acceptance and implementationIn0.60section
FAIR datarelated to Acceptance and implementationGermany0.60section
FAIR datarelated to Acceptance and implementationNetherlands0.60section

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    Min side: 3
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