introduction
Running a FAIR Data Point to expose your metadata. An option if you have the resources/capacity and knowledge.
Requirement:
a (virtual) machine
docker
explanation/approach
The FAIR Data Point reference implementation is available as a Docker Compose distribution. The official documentation is available at About FAIR Data Point — FAIR Data Point 1.16 documentation.
There are two options to deploy the FDP reference implementation. For a simple deployment, the https://fairdatapoint.readthedocs.io/en/latest/deployment/local-deployment.html is a good start. If you want to run the FAIR Data Point in production, a Production Deployment is also available.
Other implementations
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
Pro
Full control of the FAIR Data Point instance.All components (FDP client, FDP server, blazegraph) deployed in one go.
Con
Requires knowledge on deploying docker containers
maintenance of the server and application
Next steps
copy/link to https://health-ri.atlassian.net/wiki/spaces/FSD/pages/279183386/3.+Exposing+metadata#%3Acheck_mark%3A--Next-steps
link to https://health-ri.atlassian.net/wiki/spaces/FSD/pages/edit-v2/292519963?draftShareId=3e2fb8f1-0cba-4f12-a724-d664f2b9bf2c as a “preferred” source for the metadata.