# FDP Harvester

The FDP Harvester is a python application which uses and extends the "ckanext-dcat" plugin to collect data harvested from a F2DS catalogue (i.e https://f2ds.eosc-pillar.eu/expanded?format=rdf) 
and publish them into a D4Science Catalogue instance powered by CKAN

## Built With

* [Python 2.6](https://www.python.org/download/releases/2.6/) - The Python version used

**Requires**
* ckanext-dcat. [ckanext-dcat](https://github.com/ckan/ckanext-dcat)

## Documentation

See at https://github.com/ckan/ckanext-dcat

## Results

Collected as "F2DSItem" in the [EOSC-Pillar Catalogue](https://eosc-pillar.d4science.org/catalogue-eoscpillar)

## Change log

See the [Releases](https://code-repo.d4science.org/CKAN-Extensions/FPD-harvester/releases)

## Authors

* **Francesco Mangiacrapa** ([ORCID](https://orcid.org/0000-0002-6528-664X)) Computer Scientist at [ISTI-CNR Infrascience Group](http://nemis.isti.cnr.it/groups/infrascience)

## License

This project is licensed under the EUPL V.1.1 License - see the [LICENSE.md](LICENSE.md) file for details.


## About the gCube Framework
This software is part of the [gCubeFramework](https://www.gcube-system.org/ "gCubeFramework"): an
open-source software toolkit used for building and operating Hybrid Data
Infrastructures enabling the dynamic deployment of Virtual Research Environments
by favouring the realisation of reuse oriented policies.
 
The projects leading to this software have received funding from a series of European Union programmes including:

- the Sixth Framework Programme for Research and Technological Development
    - DILIGENT (grant no. 004260).
- the Seventh Framework Programme for research, technological development and demonstration 
    - D4Science (grant no. 212488);
    - D4Science-II (grant no.239019);
    - ENVRI (grant no. 283465);
    - EUBrazilOpenBio (grant no. 288754);
    - iMarine(grant no. 283644).
- the H2020 research and innovation programme 
    - BlueBRIDGE (grant no. 675680);
    - EGIEngage (grant no. 654142);
    - ENVRIplus (grant no. 654182);
    - PARTHENOS (grant no. 654119);
    - SoBigData (grant no. 654024);
    - DESIRA (grant no. 818194);
    - ARIADNEplus (grant no. 823914);
    - RISIS2 (grant no. 824091);
    - PerformFish (grant no. 727610);
    - AGINFRAplus (grant no. 731001).