Dataverse Community Survey 2022 – Report




Data archive, Data management infrastructure, Data publication, Data repository management, Data sharing, Digital archiving, Digital infrastructure, Digital preservation, Digital research data, Long-term preservation, OAI repository, Repository, Research data, Research data management, Research data management infrastructure, Research data publication workflow, Scientific data infrastructure, Scientific data services, Trusted Digital Repository, open source software, OSS, community-driven, Dataverse, Open Science


This report presents some of the results from the Dataverse Community Survey 2022.

The main goal of the survey was to help the Global Dataverse Community Consortium (GDCC; and the Dataverse Project ( decide on what actions to take to improve the Dataverse software and the larger ecosystem of integrated tools and services as well as better support community members. The results from the survey may also be of interest to other communities working on software and services for managing research data.

The survey was designed to map out the current status as well as the roadmaps and priorities of Dataverse installations around the world.

The main target group for participating in the survey were the people/teams responsible for operating Dataverse installations around the world. A secondary target group were people/teams at organizations that are planning to deploy or considering deploying a Dataverse installation. There were 34 existing and planned Dataverse installations participating in the survey.


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Author Biography

Philipp Conzett, UiT The Arctic University of Norway

Philipp Conzett is a Senior Research Librarian at UiT The Arctic University of Norway ( As a member of the research support team at the UiT Library, he devotes much of his time to working on Open Science, especially research data management. He is one of the repository managers of DataverseNO ( and of the Tromsø Repository of Language and Linguistics (TROLLing; He is a member of several working groups and managing committees related to research data management and Open Science, including European Research Infrastructure for Language Resources and Technology (CLARIN), the European Cooperation in Science and Technology (COST), the Global Dataverse Community Consortium (GDCC), RDA in Norway, and the RDA Linguistics Data IG.


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Conzett, P. (2020). DataverseNO: A National, Generic Repository and its Contribution to the Increased FAIRness of Data from the Long Tail of Research. Ravnetrykk, 39, Article 39.

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World map indicating the countries of Dataverse installations participating in the survey. The different colours indicate the numbers of Dataverse installations represented in the survey. The map was created with and is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.




How to Cite

Conzett, P. (2022). Dataverse Community Survey 2022 – Report. Septentrio Reports, (1).