dataminer/README.md

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# DataMiner
DataMiner is a library for integrate WPS 52North in the D4Science Infrastructure.
## Structure of the project
* The source code is present in the src folder.
## Built With
* [OpenJDK](https://openjdk.java.net/) - The JDK used
* [Maven](https://maven.apache.org/) - Dependency Management
## Documentation
* Use of this library is described on [Wiki](https://wiki.gcube-system.org/gcube/DataMiner_Installation).
## Change log
See [Releases](https://code-repo.d4science.org/gCubeSystem/dataminer/releases).
## Authors
* **Gianpaolo Coro** ([ORCID]()) - [ISTI-CNR Infrascience Group](http://nemis.isti.cnr.it/groups/infrascience)
* **Lucio Lelii** ([ORCID]()) - [ISTI-CNR Infrascience Group](http://nemis.isti.cnr.it/groups/infrascience)
* **Giancarlo Panichi** ([ORCID](http://orcid.org/0000-0001-8375-6644)) - [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);