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titleStatusSTATUS: Ready for reviewRELEASED

The FAIR principles aim to make data Findable, Accessible, Interoperable and Reusable, to maximize the reuse of (research) data. See the Health-RI website for more information on FAIR.

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🎯
Define FAIRification Objectives

🎽

Build the Team

🧑‍🔧

Have a FAIR data steward on board

🏋️‍♀️

Get Training

📑

Design Solution Plan

✅

Pre-FAIR Assessment

🔐

Data access and retrieval

📚

Assess availability of your metadata

🛂

Select Identifier Scheme

🗃️

Register resource level metadata

🗃️

Register record level metadata

🛠️

Apply common data elements

🔎

Analyse data semantics

📝

Design eCRF (data collection)

🏗️

Create or reuse a semantic (meta)data model

📖

(ToDo) Use ontologies in the data model

🧑‍🦰

Obtain Informed Consent

💻

(ToDo) Enter data in eCRF (data collection)

🗃️

(ToDo) Apply core metadata model

🛠️

Transform and expose FAIR (meta)data

🔐

Define access conditions

(question)

Query (use) over resources

✅

Assess FAIRness

🏁

Did you reach your FAIR objectives

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