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->catalogs->datasets->distributions

FDP software specification can be found here

FDP has been implemented in:

• Python
• Java

Installation

To install FDP, do

From pypi

pip install fairdatapoint

Or from this repo

git clone https://github.com/NLeSC/fairdatapoint.git
cd fairdatapoint
pip install .

Running

fdp-run localhost 80

The Swagger UI is enabled for FDP service, and you can have a try by visiting http://localhost.

Unit testing

Run tests (including coverage) with:

pip install .[tests]
pytest

TODO: Include a link to your project's full documentation here.

Deploy with Docker

Check fairdatapoint-service.

Deploy without Docker

Before deploying FDP, it's necessary to first have a running SPARQL database which can be used to store metadata.

pip install fairdatapoint

# fdp-run <host> <port> --db=<sparql-endpoint>
# Let's assume your <host> is 'example.com' and <sparql-endpoint> is 'http://example.com/sparql', then
fdp-run example.com 80 --db='http://example.com/sparql'

Web API documentation

FAIR Data Point (FDP) exposes the following endpoints (URL paths):

Access endpoints to request metadata programmatically

FDP: curl -iH 'Accept: text/turtle' [BASE URL]/fdp

Catalog: curl -iH 'Accept: text/turtle' [BASE URL]/catalog/catalog01

Dataset: curl -iH 'Accept: text/turtle' [BASE URL]/dataset/dataset01

Distribution: curl -iH 'Accept: text/turtle' [BASE URL]/distribution/dist01

FDP supports the following RDF serializations (MIME-types):

• Turtle: text/turtle
• N-Triples: application/n-triples
• N3: text/n3
• RDF/XML: application/rdf+xml
• JSON-LD: application/ld+json

Contributing

If you want to contribute to the development of FAIR Data Point, have a look at the contribution guidelines.

License

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

http://www.apache.org/licenses/LICENSE-2.0

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.

Credits

This package was created with Cookiecutter and the NLeSC/python-template.