Merge pull request #11577 from Recherche-Data-Gouv/fix-documentation-forge-inrae

Migration from forgemia.inra.fr to forge.inrae.fr

Author: ofahimIQSS

doc/sphinx-guides/source/_static/admin/dataverse-external-tools.tsv

@@ -4,5 +4,5 @@ Binder	explore	dataset	Binder allows you to spin up custom computing environment
 File Previewers	explore	file	"A set of tools that display the content of files - including audio, html, `Hypothes.is <https://hypothes.is/>`_ annotations, images, PDF, Markdown, text, video, tabular data, spreadsheets, GeoJSON, zip, and NcML files - allowing them to be viewed without downloading the file. The previewers can be run directly from github.io, so the only required step is using the Dataverse API to register the ones you want to use. Documentation, including how to optionally brand the previewers, and an invitation to contribute through github are in the README.md file. Initial development was led by the Qualitative Data Repository and the spreasdheet previewer was added by the Social Sciences and Humanities Open Cloud (SSHOC) project. https://github.com/gdcc/dataverse-previewers"
 Ask the Data	query	file	Ask the Data is an experimental tool that allows you ask natural language questions about the data contained in Dataverse tables (tabular data). See the README.md file at https://github.com/IQSS/askdataverse/tree/main/askthedata for the instructions on adding Ask the Data to your Dataverse installation. 
 TurboCurator by ICPSR	configure	dataset	TurboCurator generates metadata improvements for title, description, and keywords. It relies on open AI's ChatGPT & ICPSR best practices. See the `TurboCurator Dataverse Administrator <https://turbocurator.icpsr.umich.edu/tc/adminabout/>`_ page for more details on how it works and adding TurboCurator to your Dataverse installation.
-JupyterHub	explore	file	The `Dataverse-to-JupyterHub Data Transfer Connector <https://forgemia.inra.fr/dipso/eosc-pillar/dataverse-jupyterhub-connector>`_ is a tool that simplifies the transfer of data between Dataverse repositories and the cloud-based platform JupyterHub. It is designed for researchers, scientists, and data analysts, facilitating collaboration on projects by seamlessly moving datasets and files. The tool is a lightweight client-side web application built using React and relies on the Dataverse External Tool feature, allowing for easy deployment on modern integration systems. Currently optimized for small to medium-sized files, future plans include extending support for larger files and signed Dataverse endpoints. For more details, you can refer to the external tool manifest: https://forgemia.inra.fr/dipso/eosc-pillar/dataverse-jupyterhub-connector/-/blob/master/externalTools.json
+JupyterHub	explore	file	The `Dataverse-to-JupyterHub Data Transfer Connector <https://forge.inrae.fr/dipso/eosc-pillar/dataverse-jupyterhub-connector>`_ is a tool that simplifies the transfer of data between Dataverse repositories and the cloud-based platform JupyterHub. It is designed for researchers, scientists, and data analysts, facilitating collaboration on projects by seamlessly moving datasets and files. The tool is a lightweight client-side web application built using React and relies on the Dataverse External Tool feature, allowing for easy deployment on modern integration systems. Currently optimized for small to medium-sized files, future plans include extending support for larger files and signed Dataverse endpoints. For more details, you can refer to the external tool manifest: https://forge.inrae.fr/dipso/eosc-pillar/dataverse-jupyterhub-connector/-/blob/master/externalTools.json
 3DViewer by openforestdata.pl	explore	file	The 3DViewer by openforestdata.pl can be used to explore 3D files (e.g. STL format). It was presented by Kamil Guryn during the 2020 community meeting (`slide deck <https://osf.io/aqgr5>`_, `video <https://youtu.be/YH4I_kldmGI?si=Y-9dZ3xPXeswchAl&t=2379>`_) and can be found at https://github.com/OpenForestData/open-forest-data-previewers

doc/sphinx-guides/source/admin/integrations.rst

@@ -217,7 +217,7 @@ Researchers can use a Google Sheets add-on to search for Dataverse installation'
 JupyterHub
 ++++++++++
 
-The `Dataverse-to-JupyterHub Data Transfer Connector <https://forgemia.inra.fr/dipso/eosc-pillar/dataverse-jupyterhub-connector>`_ streamlines data transfer between Dataverse repositories and the cloud-based platform JupyterHub, enhancing collaborative research.
+The `Dataverse-to-JupyterHub Data Transfer Connector <https://forge.inrae.fr/dipso/eosc-pillar/dataverse-jupyterhub-connector>`_ streamlines data transfer between Dataverse repositories and the cloud-based platform JupyterHub, enhancing collaborative research.
 This connector facilitates seamless two-way transfer of datasets and files, emphasizing the potential of an integrated research environment.
 It is a lightweight client-side web application built using React and relying on the Dataverse External Tool feature, allowing for easy deployment on modern integration systems. Currently, it supports small to medium-sized files, with plans to enable support for large files and signed Dataverse endpoints in the future.