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As a research data hub for social and economic history, Emporion offers a platform for the publication, indexing, and long-term storage of time series, historical statistical and panel data, georeferenced vector data, and text mining analysis results, as well as data papers describing them, in accordance with the FAIR Guiding Principles for Scientific Data Management and Stewardship. Emporion is also open to contributions from the fields of corporate and environmental history and the history of technology.

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.

CORA. Research Data Repository (RDR) is a federated and multidisciplinary data repository that allows Catalan universities, CERCA research centers and other entities that carry out research to publish research datasets in FAIR mode and following the EOSC guidelines. The objectives of the RDR are to increase the efficiency and transparency of research through the rapid dissemination of datasets, and to facilitate their reuse.

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.

Citizen science in data and resource-limited areas: a tool to detect long-term ecosystem changes

Is the institutional repository of the Universitat de Girona. Its aim is to preserve, spread and make visible the intellectual production issued from research and teaching lead at the UdG, such as degree final reports, master reports and doctorate research reports by university students as well as articles in scientific periodicals and datasets. Moreover it includes indexing and content description tools, makes visualization from many other internet sites easier (interoperability) and it also includes open access.

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.