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README.md

Information System Exporter Smart Executor Plugin

Information System Exporter Smart Executor Plugin exports GenericResource and ServiceEndpoint from gCoreIS to Resource Registry mapping them according to the gCube Model. The plugin is used in the transition phase from gCoreIS to Facet Based IS.

Built With

Documentation

Information System Exporter Smart Executor Plugin

Change log

See Releases.

Authors

How to Cite this Software

Tell people how to cite this software.

  • Cite an associated paper?

  • Use a specific BibTeX entry for the software?

    @software{, title = {Information System Exporter Smart Executor Plugin}, author = {{Frosini, Luca}}, organization = {ISTI - CNR}, address = {Pisa, Italy}, year = 2019, url = {http://www.gcube-system.org/} }

License

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

About the gCube Framework

This software is part of the 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);