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Metadata onboarding on the National Catalogue
FAIR data at Health-RI
The Metroline - Steps for your FAIRification Workflow
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Metroline Step: Define FAIRification objectives
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Metroline Step: Build the team
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Metroline Step: Have a FAIR data steward on board
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Funder Step: Building your community
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Metroline Step: Get training
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Metroline Step: Pre-FAIR assessment
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Funder Step: Creating a FAIR Implementation Profile (FIP)
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Metroline Step: Design solution plan
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Metroline Step: Data access and retrieval
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Metroline Step: Select identifier scheme
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Metroline Step: Register resource level metadata
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Metroline Step: Register record level metadata
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Metroline Step: Apply common data elements
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Metroline Step: Analyse data semantics
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Metroline Step: Design eCRF (data collection)
Metroline Step: Create or reuse a semantic (meta)data model
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Metroline Step: Obtain informed consent
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Metroline Step: Enter data in eCRF (data collection)
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Metroline Step: Apply (meta)data model
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Metroline Step: Transform and expose FAIR (meta)data
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Metroline Step: Define access conditions
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Metroline Step: Query (use) over resources
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Metroline Step: Assess FAIRness
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Metroline Step: Did you reach your FAIR objectives
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Funder Step: DMP writing/reviewing and FAIR maturity assessment
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Funder Step: FAIR work processes and guidelines
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Funder Step: Creating FAIR metadata
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Funder Step: Making (meta)data available for machines and human
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Funder Step: FAIR training and guidelines
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Funder Step: Examples of how to use FAIR data in research
Metroline: How to contribute
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Metroline References
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Metroline: Status
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Metroline: Quick feedback form
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Metroline: Contributors
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FAIR Training and Capacity building
Scenarios - General Explanation and Template
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Terminological Clarifications for FAIR
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FAIR Newsletter
Archive
Blogs
Health-RI data
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The Metroline - Steps for your FAIRification Workflow
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Funder Step: FAIR training and guidelines
Summarize
Funder Step: FAIR training and guidelines
Sander de Ridder
Owned by
Sander de Ridder
Last updated:
Jul 09, 2024
1 min read
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Potential Metroline relationships
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