Python implementation of FAIR Data Point
FAIR Data Point (FDP)
Python implementation of FAIR Data Point.
FDP is a RESTful web service that enables data owners to describe and to expose their datasets (metadata) as well as data users to discover more information about available datasets according to the FAIR Data Guiding Principles. In particular, FDP addresses the findability or discoverability of data by providing machine-readable descriptions (metadata) at four hierarchical levels:
FDP software specification can be found here
FDP has been implemented in:
To install FDP, do
pip install fairdatapoint
Or from this repo
git clone https://github.com/NLeSC/fairdatapoint.git cd fairdatapoint pip install .
fdp-run localhost 80
Then visit from your browser: http://localhost/
Run tests (including coverage) with:
pip install .[tests] pytest
TODO: Include a link to your project's full documentation here.
Deploy with Docker
docker-compose.prod.yml from this repo, change the
HOSTNAME in the file to a proper host.
The default port is
80, and you can use other port (e.g.
8080) if port
80 is used.
Then run the command
docker-compose -f docker-compose.prod.yml up -d
Deploy without Docker
Before deploying FDP, it's necessary to first have a running SPARQL database.
pip install fairdatapoint # fdp-run <host> <port> --db=<sparql-endpoint> fdp example.com 80 --db='http://dbpedia.org/sparql'
Web API documentation
FAIR Data Point (FDP) exposes the following endpoints (URL paths):
|fdp||Output metadata triples||Remove existing triples for a specific ID, then create new triples with the request data||Not Allowed|
|catalog/||Output all IDs||Remove existing triples for a specific ID, then create new triples with the request data||Remove all IDs|
|dataset/||Output all IDs||Remove existing triples for a specific ID, then create new triples with the request data||Remove all IDs|
|distribution/||Output all IDs||Remove existing triples for a specific ID, then create new triples with the request data||Remove all IDs|
|catalog/<catalogID>||Output metadata triples||Not Allowed||Remove the specific ID|
|dataset/<datasetID>||Output metadata triples||Not Allowed||Remove the specific ID|
|distribution/<distributionID>||Output metadata triples||Not Allowed||Remove the specific ID|
Access endpoints to request metadata programmatically
curl -iH 'Accept: text/turtle' [BASE URL]/fdp
curl -iH 'Accept: text/turtle' [BASE URL]/catalog/catalog01
curl -iH 'Accept: text/turtle' [BASE URL]/dataset/dataset01
curl -iH 'Accept: text/turtle' [BASE URL]/distribution/dist01
FDP supports the following RDF serializations (MIME-types):
If you want to contribute to the development of FAIR Data Point, have a look at the contribution guidelines.
Copyright (c) 2019,
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
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