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46 lines
2.0 KiB
Markdown
46 lines
2.0 KiB
Markdown
4 years ago
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# PerformFish Analytics Portlet
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PerformFish Analytics Portlet is a tool for perform and display statistical analysis concerning the PerformFish project.
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## Structure of the project
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* The source code is present in the src folder.
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## Built With
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* [OpenJDK](https://openjdk.java.net/) - The JDK used
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* [Maven](https://maven.apache.org/) - Dependency Management
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## Documentation
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* Use of this portlet is is described on [Wiki](https://docs.google.com/document/d/1QK-I9LwQ5yDJhmHi-cgWpgC3f1Qux05gYgwGYHks-zQ).
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## Change log
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See [Releases](https://code-repo.d4science.org/gCubeSystem/performfish-analytics-portlet/releases).
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## Authors
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* **Francesco Mangiacrapa** - [ISTI-CNR Infrascience Group](http://nemis.isti.cnr.it/groups/infrascience)
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## License
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This project is licensed under the EUPL V.1.1 License - see the [LICENSE.md](LICENSE.md) file for details.
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## About the gCube Framework
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This software is part of the [gCubeFramework](https://www.gcube-system.org/ "gCubeFramework"): an
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open-source software toolkit used for building and operating Hybrid Data
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Infrastructures enabling the dynamic deployment of Virtual Research Environments
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by favouring the realisation of reuse oriented policies.
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The projects leading to this software have received funding from a series of European Union programmes including:
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- the Sixth Framework Programme for Research and Technological Development
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- DILIGENT (grant no. 004260);
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- the Seventh Framework Programme for research, technological development and demonstration
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- D4Science (grant no. 212488), D4Science-II (grant no.239019), ENVRI (grant no. 283465), EUBrazilOpenBio (grant no. 288754), iMarine(grant no. 283644);
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- the H2020 research and innovation programme
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- 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);
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