gFeed/oai-harvester/README.md

GFeed - oai-harvester
--------------------------------------------------
 
GFeed oai-harvester is a collector-plugin aimed to harvest metadata from an oai-pmh repository. 
 
## Built with
* [gCube SmartGears] (https://gcube.wiki.gcube-system.org/gcube/SmartGears) - The gCube SmartGears framework 
* [OpenJDK](https://openjdk.java.net/) - The JDK used
* [JAX-RS](https://github.com/eclipse-ee4j/jaxrs-api) - Java™ API for RESTful Web Services
* [Jersey](https://jersey.github.io/) - JAX-RS runtime
* [Maven](https://maven.apache.org/) - Dependency Management

## Documentation

Documentation can be found [here](https://gcube.wiki.gcube-system.org/gcube/GFeed).

## Change log

See [CHANGELOG.md](CHANGELOG.md).

## 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);
    - iMarine(grant no. 283644);
    - EUBrazilOpenBio (grant no. 288754).
- the H2020 research and innovation programme 
    - SoBigData (grant no. 654024);
    - PARTHENOS (grant no. 654119);
    - EGIEngage (grant no. 654142);
    - ENVRIplus (grant no. 654182);
    - BlueBRIDGE (grant no. 675680);
    - PerformFish (grant no. 727610);
    - AGINFRAplus (grant no. 731001);
    - DESIRA (grant no. 818194);
    - ARIADNEplus (grant no. 823914);
    - RISIS2 (grant no. 824091);