Dataverse Community Survey 2022 – Data

DOI

This dataset contains raw data and processed data from the Dataverse Community Survey 2022.

The main goal of the survey was to help the Global Dataverse Community Consortium (GDCC; https://dataversecommunity.global/) and the Dataverse Project (https://dataverse.org/) 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.

Excel, 2209

Nettskjema, 2022-05

Notepad++, 8.4.7

Word, 2209

Identifier
DOI https://doi.org/10.18710/UOC8CP
Related Identifier IsCitedBy https://doi.org/10.7557/7.6872
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/UOC8CP
Provenance
Creator Conzett, Philipp ORCID logo
Publisher DataverseNO
Contributor Conzett, Philipp; UiT The Arctic University of Norway; Bertuch, Oliver; Crabtree, Jonathan; Durbin, Philip; Hugo, Wim; Lake, Sherry; Mumma, Courtney; Myers, James; Newson, Kaitlin; Schlatter, Tania; Sizemore, Don; Global Dataverse Community Consortium (GDCC); The Dataverse Project
Publication Year 2022
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Conzett, Philipp (UiT The Arctic University of Norway)
Representation
Resource Type survey data; Dataset
Format text/plain; application/pdf; application/vnd.openxmlformats-officedocument.wordprocessingml.document; text/tsv; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; image/png
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Version 1.1
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Computer Science; Computer Science, Electrical and System Engineering; Engineering Sciences; Life Sciences; Research Data Management; Social Sciences; Social and Behavioural Sciences; Soil Sciences