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chore(docs): update section on Renku to reflect new platform
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doc/sphinx-guides/source/admin/integrations.rst

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@@ -56,21 +56,6 @@ As of this writing only OJS 2.x is supported and instructions for getting starte
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If you are interested in OJS 3.x supporting deposit to Dataverse installations, please leave a comment on https://github.com/pkp/pkp-lib/issues/1822
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Renku
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Renku is a platform that enables collaborative, reproducible and reusable
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(data)science. It allows researchers to automatically record the provenance of
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their research results and retain links to imported and exported data. Users
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can organize their data in "Datasets", which can be exported to a Dataverse installation via
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the command-line interface (CLI).
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Renku documentation: https://renku-python.readthedocs.io
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Flagship deployment of the Renku platform: https://renkulab.io
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Renku discourse: https://renku.discourse.group/
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Amnesia
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Renku
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Researchers can import datasets from a Dataverse installation into their Renku projects via the
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command-line interface (CLI) by using the dataset's DOI. See the `renku Dataset
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documentation
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<https://renku-python.readthedocs.io/en/latest/commands.html#module-renku.cli.dataset>`_
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for details. Currently Dataverse Software ``>=4.8.x`` is required for the import to work. If you need
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support for an earlier version of the Dataverse Software, please get in touch with the Renku team at
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`Discourse <https://renku.discourse.group>`_ or `GitHub <https://github.com/SwissDataScienceCenter/renku>`_.
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Renku is a platform for collaborative data science. It provides a simple, seamless way to bring data, code, and compute together into shared collaborative projects.
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Users can connect to a variety of "cloud" data sources, including datasets from Dataverse. Datasets are available immediately in interactive compute sessions, without the need
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to download them first - data is transferred on-demand.
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For more information about using published datasets in Renku interactive sessions, have a look at [the documentation](https://renku.notion.site/How-to-connect-data-from-data-repositories-such-as-Zenodo-or-Dataverse-1eb0df2efafc802ab3bef1c47c8c45b4).
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Documentation, tutorials, and how-to guides are available on the [Renku Community Portal](https://renku.notion.site/Renku-Community-Portal-2a154d7d30b24ab8a5968c60c2592d87).
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To use Renku, feel free to head to https://renkulab.io - anyone can create an account and there are free public compute resources that you can access.
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Avgidea Data Search
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