As a researcher, you may need to make your dataset Findable and
Accessible because of funder or institutional requirements.
Examples
I need to comply with my UMC's FAIR data policy and make my dataset available in the National Health Data Catalogue.
Complexity
Medium
Key Experts
Data Steward
Outcome
Findable Dataset
Your Journey
Legend:
Completed
Active/To Do
Destination
Optional
Define FAIRification objectives
You've defined the objectives you want to achieve.
You've identified your goal: making your dataset findable in the National Health Data Catalogue to comply with your organization's data policy. Having clear objectives helps you stay focused on what matters most.
Examples
Researcher at University Medical Center
My FAIR Objectives are: make my data Findable and Accessible in the National Health Data Catalogue metadata catalogue
You've connected with someone who can guide you through the process.
You've reached out to your institutional data steward who will support you throughout this journey. Having expert guidance makes the process much smoother and helps you avoid common pitfalls.
Examples
Researcher at University Medical Center
I contact my institutional data stewards for support on how to make the dataset Findable and Accessible in the National Health Data Catalogue.
Now you need to inventory the metadata you already have about your dataset. Things like title, description, and keywords, and identify what's still missing. This assessment helps you understand the work ahead.
Examples
Researcher at University Medical Center
I check, together with my institutional data steward, what metadata is available as well as its quality.
Next, define and document the conditions under which data can be accessed and reused, including access levels, policies, licences and agreements, ensuring compliance with legal, ethical and FAIR requirements.
Examples
Researcher at University Medical Center
The data will be available under Open Access conditions with my institution's default license. This is specified in the metadata.
Align the available metadata with the with the repository's requirements.
Align the metadata according to the repository / catalogue's requirements. Depending on the repository, you may be able to register the metadata manually. In case of the National Health Data Catalogue metadata is initially published to a local FDP.
Examples
Researcher at University Medical Center
I ensures all necessary metadata fields necessary for the HRI catalogue are filled. This metadata will be registered in the local FDP as part of the next step.
Ensure there is a service (such as a FAIR Data Point) available to publish your metadata to a catalogue.
Examples
Researcher at University Medical Center
I check with my data steward that there is a local FDP available that uses the Health-RI Core Metadata schema, which is required for publishing to the National Health Data Catalogue.
Transform and expose FAIR (meta)data
Platform specific
Transform mapped data and metadata into machine-readable formats such as RDF and publish them via platforms (e.g., FAIR Data Point), making them discoverable, accessible and interoperable under defined access conditions.
Examples
Researcher at University Medical Center
I give the metadata to the data steward who makes the data available in the FDP.
Success! Your dataset can now be discovered by others.
Congratulations! Your dataset is now registered and findable in the catalog. Researchers looking for data like yours can now discover it and understand what you have available, opening doors for potential collaborations and data reuse.
Examples
Researcher at University Medical Center
I made the metadata available in the local FAIR Data Point and therefore Findable in the National Health Data Catalogue.
Define FAIRification objectives
Have a FAIR data steward on board
Assess availability of your metadata
Define access conditions
Register resource level metadata
Transform and expose FAIR (meta)data