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The institutional data repository DataSuds provides IRD scientists and their partners with a service to disseminate, preserve and enhance their multi-disciplinary research data by facilitating their identification and citation. It is one of the elements of the open science system for the South promoted by IRD.

Collections de corpus oraux numériques

Launched in February 2020, data.sciencespo is a research data repository that offers visibility, sharing and preservation of social science and humanities data collected, curated and processed at Sciences Po

The Tromsø Repository of Language and Linguistics (TROLLing) is a FAIR-aligned repository of linguistic data, code, and related material. All data are accompanied by searchable metadata that identify the researchers, the languages and linguistic phenomena involved, the statistical methods applied, and scholarly publications based on the data (where relevant). Linguists worldwide are invited to deposit data used in their linguistic research. TROLLing is a special collection within DataverseNO (http://doi.org/10.17616/R3TV17), and C Centre within CLARIN (Common Language Resources and Technology Infrastructure, a networked federation of European data repositories; http://www.clarin.eu/), and harvested by their Virtual Language Observatory (VLO; https://vlo.clarin.eu/).

In order to control access to the experimental data obtained at the ILL in a coherent and secure fashion, the ILL has developed a portal for consulting, downloading and managing your data. Here “data” is understood to mean raw data, processed data, and meta-data (e.g. log files or “logs”).

DataverseNO (https://dataverse.no) is a curated, FAIR-aligned national generic repository for open research data from all academic disciplines. DataverseNO commits to facilitate that published data remain accessible and (re)usable in a long-term perspective. The repository is owned and operated by UiT The Arctic University of Norway. DataverseNO accepts submissions from researchers primarily from Norwegian research institutions. Datasets in DataverseNO are grouped into institutional collections as well as special collections. The technical infrastructure of the repository is based on the open source application Dataverse (https://dataverse.org), which is developed by an international developer and user community led by Harvard University.

Ifsttar Dataverse is an institutional repository for research data of Ifsttar : it catalogues research data in the field of transports, spatial planning and civil engineering.

The range of CIRAD's research has given rise to numerous datasets and databases associating various types of data: primary (collected), secondary (analysed, aggregated, used for scientific articles, etc), qualitative and quantitative. These "collections" of research data are used for comparisons, to study processes and analyse change. They include: genetics and genomics data, data generated by trials and measurements (using laboratory instruments), data generated by modelling (interpolations, predictive models), long-term observation data (remote sensing, observatories, etc), data from surveys, cohorts, interviews with players.

The Research Data Gouv repository allows the French scientific community to publish public research data. It is based on the open source research data repository software "Dataverse". This multidisciplinary repository is a sovereign publishing solution for sharing and opening up data for communities which are yet to set up their own recognised thematic repository.