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A Primer on Open Science-Driven Repository Platforms

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Metadata and Semantic Research (MTSR 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1789))

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Abstract

Following Open Science mandates, institutions and communities increasingly demand repositories with native support for publishing scientific literature together with research data, software, and other research products. Such repositories may be thematic or general-purpose and are deeply integrated with the scholarly communication ecosystem to ensure versioning, persistent identifiers, data curation, usage stats, and so on. Identifying the most suitable off-the-shelf repository platform is often a non-trivial task as the choice depends on functional requirements, programming and technical skills, and infrastructure resources.

This work analyses four state-of-the-art Open Source repository platforms, namely Dryad, Dataverse, DSpace, and InvenioRDM, from both a functional and a software perspective. This work intends to provide an overview serving as a primer for choosing repository platform solutions in different application scenarios. Moreover, this paper highlights how these platforms reacted to some key Open Science demands, moving away from the original and old-fashioned concept of a repository serving as a static container of files and metadata.

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Notes

  1. 1.

    www.eprints.org.

  2. 2.

    https://duraspace.org/fedora.

  3. 3.

    http://ngr.coar-repositories.org.

  4. 4.

    https://eosc-portal.eu.

  5. 5.

    https://www.jisc.ac.uk/irus.

  6. 6.

    https://makedatacount.org.

  7. 7.

    https://www.openaire.eu.

  8. 8.

    https://support.datacite.org/docs/counter-code-of-practice.

  9. 9.

    https://datadryad.org.

  10. 10.

    https://datadryad.org/stash/faq#files.

  11. 11.

    https://github.com/CDL-Dryad/dryad-app.

  12. 12.

    https://dataverse.org.

  13. 13.

    https://github.com/iqss/dataverse.

  14. 14.

    https://guides.dataverse.org/en/latest/admin/external-tools.html#inventory-of-external-tools.

  15. 15.

    https://openjournalsystems.com.

  16. 16.

    https://www.researchspace.com.

  17. 17.

    https://dspace.lyrasis.org.

  18. 18.

    https://wiki.lyrasis.org/display/DSDOC6x/Curation+System#CurationSystem-Tasks.

  19. 19.

    https://github.com/dspace/dspace.

  20. 20.

    https://inveniosoftware.org/products/rdm.

  21. 21.

    https://github.com/inveniosoftware/invenio-app-rdm.

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Authors and Affiliations

  1. Institute of Information Science and Technologies, National Research Council, Pisa, Italy

    Alessia Bardi, Paolo Manghi, Andrea Mannocci, Enrico Ottonello & Gina Pavone

Authors
  1. Alessia Bardi
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  2. Paolo Manghi
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  3. Andrea Mannocci
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  4. Enrico Ottonello
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  5. Gina Pavone
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Correspondence to Andrea Mannocci .

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Editors and Affiliations

  1. International Hellenic University, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. University College London, London, UK

    Andreas Vlachidis

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Bardi, A., Manghi, P., Mannocci, A., Ottonello, E., Pavone, G. (2023). A Primer on Open Science-Driven Repository Platforms. In: Garoufallou, E., Vlachidis, A. (eds) Metadata and Semantic Research. MTSR 2022. Communications in Computer and Information Science, vol 1789. Springer, Cham. https://doi.org/10.1007/978-3-031-39141-5_19

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  • DOI: https://doi.org/10.1007/978-3-031-39141-5_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-39140-8

  • Online ISBN: 978-3-031-39141-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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