📌 Introduction
Running a FAIR Data Point to expose your metadata is an option if you have the necessary resources/capacity and knowledge. However, we We also recommend setting up an automatic export as the preferred method for exposing your metadata.
Requirements:
a (virtual) machine,
installed Docker
🧠 Explanation / Approach
The FAIR Data Point (FDP) reference implementation is available as a Docker Compose distribution. You can find detailed instructions in the official documentation at About FAIR Data Point — FAIR Data Point 1.16 documentation.
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Local deployment: For a simple setup, the Local Deployment is a good place to start.
Production deployment: If you plan to use the FDP in a real production environment, there’s also a Production Deployment option available.
Other implementations of Fair Data Point
There are several FAIR Data Point implementations in existence:
The reference implementation as described above.
The MOLGENIS software supports the FAIR Data Point protocol.
Castor currently supports a previous version.
The Netherlands eScience Center have their own implementation.
The SURF Data Repository implements the protocol.
RD-Nexus implements the protocol.
LOVD implements the protocol.
X-omics initiative develope a FAIR Data Infrastructure, FAIR Data Cube, which contains a enhanced FAIR Data Point as a main component in terms of its search and ranking capability.
⚖️ Pros / Cons
Pros
All components (FDP client, FDP server, blazegraph) deployed in one go.
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Requires knowledge on deploying docker containers,maintenance of the server and application
Next steps
If you have an FDP and compliant metadata (2. Metadata mapping4B Exposing metadata ) within your FDP, the data can be harvested by the National Catalogue. For this step , please contact servicedesk@health-ri.nl see: 5. Metadata harvesting .