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FAIR-Community of Experts Documentation Hub
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repositories.yml
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PAT Instructions
FAIR Maturity Matrix
FAIR Maturity Matrix
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Introduction
FAIR Maturity Matrix
Dimensions
Dimensions
Overview
FAIR Data
FAIR Leadership
FAIR Strategy
FAIR Personas
FAIR Processes
FAIR Knowledge
FAIR Tools and Infrastructures
Levels
Levels
Overview
Level 0 Life is unFAIR
Level 1 Started the FAIR journey
Level 2 Getting FAIR
Level 3 Pretty FAIR
Level 4 Really FAIR
Level 5 FAIRest of them all
FAIR Training
Personas
Personas
Overview
Autonomous AI Agent
Business Analyst
Business Leader
Business Owner
Citizen Data Scientist
Clinical Data Manager
Curator
Data Analyst
Data Engineer
Data Integration Specialist
Data Owner
Data Protection Officer
Data Quality Manager
Data Scientist
Data Standards and Governance Expert
Data Steward
Data Strategy Owner
FAIR Community Manager
FAIR Data Architect
FAIR Trainer
Knowledge-Enabled Citizen
Lab Manager
Legal Data Expert
Master Data Manager
Ontologist
Project Manager
Reference Data Manager
Researcher
Subject Matter Expert
Technology Leader
X-template-FAIR persona
FAIR Personas Index
FAIR Business Value
FAIR Business Value
Overview
FAIR business value frame introduction
FAIR historic ROI method
FAIR Roles
FAIR Roles
Overview
Data Producer
Data Enabler
Data Consumer
FAIR Data Principles
FAIR Data Principles
Overview
Findable
F1. (Meta)data are assigned a globally unique and persistent identifier
F2. Data are described with rich metadata (defined by R1 below)
F3. Metadata clearly and explicitly include the identifier of the data they describe
F4. (Meta)data are registered or indexed in a searchable resource
Accessible
A1. (Meta)data are retrievable by their identifier using a standardised communications protocol
A1.1 The protocol is open, free, and universally implementable
A1.2 The protocol allows for an authentication and authorisation procedure, where necessary
A2. Metadata are accessible, even when the data are no longer available
Interoperable
I1. (Meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.
I2. (Meta)data use vocabularies that follow FAIR principles
I3. (Meta)data include qualified references to other (meta)data
Reusable
R1. (Meta)data are richly described with a plurality of accurate and relevant attributes
R1.1. (Meta)data are released with a clear and accessible data usage license
R1.2. (Meta)data are associated with detailed provenance
R1.3. (Meta)data meet domain-relevant community standards
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Summary
Migration
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