Data from a survey on the traceability of published datasets created at Swedish research institutions
https://doi.org/10.71870/5f35-mc67
The aim of this survey was to investigate how Swedish research organizations currently work with tracking published datasets, and also to capture more qualitative accounts of what problems are experienced and how respondents see that they can be solved in the short or long term.
The survey was answered by 54 respondents, mostly individuals involved in various research support roles.
"Traceable research data: Methods and recommendations for enhanced traceability and visibility of Swedish data publications" is a Flagship project by the Swedish National Data Service, aiming to improve the management and traceability of published datasets at Swedish higher education institutions. It explores how published datasets can be identified, registered, and tracked over time.
By developing methods for harvesting metadata and producing practical recommendations, the project contributes to improved traceability, visibility, and quality assurance of research data in alignment with the FAIR principles. The results will be made openly accessible in the form of current state and gap analyses, recommendations, and proposed technical solutions.
The goal of the project is to establish conditions that support national requirements for monitoring and reporting. Universities, researchers, and other stakeholders will gain support in identifying and highlighting published research data, thereby strengthening Swedish research both nationally and internationally.
Documentation files
Documentation files
Citation and access
Citation and access
Data access level:
Creator/Principal investigator(s):
Research principal:
Data contains personal data:
Yes
Type of personal data:
The combination of background variables and detailed information in the open-ended responses creates a likely possibility of reidentification of certain respondents. Several respondents are working in professional roles in which only a few people are active in Sweden.
Citation:
Language:
Method and outcome
Method and outcome
Unit of analysis:
Population:
The web-based survey was answered by self-reported roles that included research data advisors/data stewards, librarians, bibliometricians, researchers, and several other professions.
Time method:
Sampling procedure:
Description of sampling:
The link to the survey was distributed via various professional networks, departmental mail addresses and mailing lists to specifically reach people who worked with research data, publishing support, bibliometrics and researcher support.
Time period(s) investigated:
Variables:
26
Number of individuals/objects:
54
Data collection - Self-administered questionnaire: Web-based (CAWI)
Data collection - Self-administered questionnaire: Web-based (CAWI)
Mode of collection:
Self-administered questionnaire: Web-based (CAWI)
Description of the mode of collection:
A web-based survey with 14 questions, of which 7 were categorical and 7 were open-ended questions, could be answered by anyone who had access to the survey link during the survey period.
Time period(s) for data collection:
2025-03-03 - 2025-03-17
Data collector:
- Swedish National Data Service
Opens a new window at ror.org.
ROR
Sample size:
54
Number of responses:
54
Source of the data:
- Population group
Instrument
Instrument
Name:
To publish and find research data created at Swedish universities
Type:
Semi-structured questionnaire
Description of the instrument:
Survey constructed in Sunet Survey (Artologik Survey&Report) containing 7 categorical questions and 7 open-ended questions.
Data collection - Content coding
Data collection - Content coding
Mode of collection:
Content coding
Description of the mode of collection:
The survey analysis was conducted in the form of a thematic analysis, which was initiated using a qualitative thematic coding methodology where the responses were read and codes were developed for different themes. For developing codes and tagging, we used the open QDA software Taguette version 1.4.1, which enabled project participants to collaborate using a web interface when coding.
The codes are listed in the codebook for thematic analysis.
Time period(s) for data collection:
2025-03-03 - 2025-03-17
Data collector:
- Swedish National Data Service
Opens a new window at ror.org.
ROR
Sample size:
54
Number of responses:
54
Source of the data:
- Population group
Instrument
Instrument
Name:
Taguette
Type:
Other
Description of the instrument:
Taguette: open-source qualitative data analysis
Version 1.4.1
https://doi.org/10.5281/zenodo.7606027
Geographic coverage
Geographic coverage
Geographic location:
Administrative information
Administrative information
Responsible department/unit:
E-commons
Other research principals:
Commissioning organisation:
- Swedish National Data Service
Opens a new window at ror.org.
ROR
Registration number at commissioning organization:
- Spårbara forskningsdata: metoder och rekommendationer för ökad spårbarhet och synlighet för svenska datapubliceringar
Funding
Funding
Funding agency:
- Swedish Research Council
Opens a new window at ror.org.
ROR
Award number:
2021-00165_VR
Award title:
Swedish National Data Service (SND)
Topic and keywords
Topic and keywords
CESSDA topic classification:
Swedish Standard Classification of Research Subjects 2025:
Keywords:
Relations
Relations
Is described by:
Publications
Publications
Citation:
Andersson, U., Andrén, L., Jernung, A., Johansson, S., Olsson, O., Tikkanen, T., & Vesterlund, M. (2026). Identifierade brister i spårbarheten hos forskningsdatapubliceringar i Sverige. Svensk nationell datatjänst. https://doi.org/10.5281/zenodo.18846123
Citation:
Andersson, A, Andrén, L, Jernung, A, Johansson, S, Olsson, O, Tikkanen, T & Vesterlund, M. (2025). Spårbara forskningsdata: metoder och rekommendationer för ökad spårbarhet och synlighet för svenska datapubliceringar - Översiktsrapport. Svensk nationell datatjänst. https://doi.org/10.5281/zenodo.17365330
SwePub:
Metadata
Metadata
Version 1
