Dataverse Community Survey 2022 – Report

Forfattere

DOI:

https://doi.org/10.7557/7.6872

Emneord (Nøkkelord):

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

Sammendrag

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; 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.

Nedlastinger

Nedlastingsdata er ikke tilgjengelig enda.

Statistikk

Laster statistikk…

Forfatterbiografi

Philipp Conzett, UiT Noregs arktiske universitet

Philipp Conzett er førstebibliotekar ved UiT Noregs arktiske universitet (https://uit.no/). Som medlem av faggruppa for forskings- og publiseringsstøtte på Universitetsbiblioteket jobbar han mykje med open vitskap, særleg forskingsdatahandtering. Philipp er er ein av arkivforvaltarane av DataverseNO (https://dataverse.no) og Tromsø Repository of Language and Linguistics (TROLLing; https://trolling.uit.no). Han er medlem av fleire arbeidsgrupper og koordineringsgrupper for forskingsdatahandtering og open vitskap, mellom anna i European Research Infrastructure for Language Resources and Technology (CLARIN), European Cooperation in Science and Technology (COST), Global Dataverse Community Consortium (GDCC), RDA Noreg, og RDA Linguistics Data IG.

Referanser

Arp, L. G., & Forbes, M. (2022). It Takes a Village: Open Source Software Sustainability. A Guidebook for Programs Serving Cultural and Scientific Heritage (February 2018; Minor Updates March 2022). LYRASIS. https://www.lyrasis.org/programs/Documents/ITAV_Guidebook_042522FINAL.pdf

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. https://doi.org/10.7557/15.5514

Conzett, P. (2022). Dataverse Community Survey 2022 – Data (Version 1) [Dataset]. DataverseNO. https://doi.org/10.18710/UOC8CP

Conzett, P., Crabtree, J., & Myers, J. (2022). Updates from the Global Dataverse Community Consortium (GDCC). Presentation at the Dataverse Community Meeting 2022. https://hdl.handle.net/10037/26038

Crosas, M. (2020). Fair Principles and Beyond: Implementation in Dataverse. Septentrio Conference Series, 2, Article 2. https://doi.org/10.7557/5.5334

DevOps. (2022). In Wikipedia. https://en.wikipedia.org/w/index.php?title=DevOps&oldid=1124816167

GDCC—The Global Dataverse Community Consortium. (n.d.). Retrieved 11 December 2022, from https://dataversecommunity.global/

IQSS/dataverse/releases. (n.d.). IQSS/Dataverse. Retrieved 8 May 2022, from https://github.com/IQSS/dataverse/releases

King, G. (2007). An Introduction to the Dataverse Network as an Infrastructure for Data Sharing. Sociological Methods & Research, 36(2), 173–199. https://doi.org/10.1177/0049124107306660

Sauro, J. (2018, September 5). 4 Classes of Survey Questions. MeasuringU. https://measuringu.com/survey-question-classes/

Schlatter, T., & Ji, J. (2021). Personas for software? How and why we created archetypes for installation of an open source product [Poster]. The information architecture conference (IAC21), Virtual. https://drive.google.com/file/d/1SA2W7MKMRXTAzFrZmjVYM-E6o9tT1OQm/view?usp=sharing

The Dataverse Project. (n.d.). Retrieved 11 December 2022, from https://dataverse.org/

Working Party of National Experts on Science and Technology Indicators. (2007). Revised Field of Science and Technology (FOS) Classification in the Frascati Manual. Organisation for Economic Co-operation and Development. https://www.oecd.org/science/inno/38235147.pdf

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 mapchart.net and is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Nedlastinger

Publisert

2022-12-15

Hvordan referere

Conzett, P. (2022). Dataverse Community Survey 2022 – Report. Septentrio Reports, (1). https://doi.org/10.7557/7.6872

Utgave

Nr. 1 (2022)

Seksjon

Rapporter

Lisens

Opphavsrett 2022 Philipp Conzett

Creative Commons License

Dette verket er lisensiert under Creative Commons Attribution 4.0 International License.

Crossref
Scopus
Google Scholar
Europe PMC