Interviews with doctoral students and researchers about research data management and needs of e-infrastructure
https://doi.org/10.5878/tsxe-f281
The data consist of 40 interviews collected from May 2025 to October 2025 along with a quantitative summary of interviewees reported satisfaction in different data management phases. The data are part of the SND-project KAFFE (Mapping Capabilities in the Research E-Infrastructure Systems), which ran from November 2024 to November 2025. These data were originally collected for mapping purposes rather than for research.
The interviews were conducted at seven higher education institutions by a number of interviewers. The interviewees were PhD students, postdoctoral researchers, junior researchers, and senior researchers, interviewed within the disciplines of humanities, artistic research, medicine and health, natural science, social science, technical sciences, and agricultural science. The interviews ranged from 21 to 88 minutes in length.
The interviews were recorded using the tools Zoom or Teams. The audio files were then transcribed into text using Whisper for English speech and KB Whisper for Swedish speech. The text files were reviewed and corrected in two stages: first by the interviewer, and then by a group within the Swedish National Data Service. The final transcription files are in PDF/A format.
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Files with open access (51)
Files with open access (51)
Citation and access
Citation and access
Access level:
Creator/Principal investigator(s):
Research principal:
Data contains personal data:
Yes
Type of personal data:
The data are thoroughly pseudonymized but may contain indirectly identifying information. However, the risks to individual privacy are considered negligible, and the consequences of open publication are deemed harmless.
Code key exists:
Yes
Citation:
Method and outcome
Method and outcome
Unit of analysis:
Population:
The participants were 40 doctoral students, post-docs and researchers from University of Borås,
Stockholm School of Economics, University of Gothenburg, Uppsala University, University College Stockholm, Chalmers University of Technology and The Swedish University of Agricultural Sciences.
Time method:
Sampling procedure:
Description of sampling:
The interviewers, who volunteered to carry out interviews in the project, chose interviewees themselves at their higher education institutions. This process was not documented.
Time period(s) investigated:
Number of individuals/objects:
40
Data format/data structure:
Data collection - Intervju
Data collection - Intervju
Mode of collection:
Intervju
Description of the mode of collection:
Tre personer närvarande vid vardera intervju: intervjupersonen (i transkripten kallad Deltagare), intervjuaren och en antecknare. Intervjun följde en strukturerad intervjuguide (se Intervjuguide_SV.pdf). En illustration kallad Förmågekartan användes som diskussionsunderlag och visuellt hjälpmedel. Under intervjun kunde deltagaren se anteckningarna som togs och hade möjligheten att ändra/komplettera. Se Anteckningsunderlag_SV.pdf för detta underlag.
Time period(s) for data collection:
2025-05-08 - 2025-10-06
Data collector:
- Svensk nationell datatjänst
Öppnar nytt fönster hos ror.org.
ROR
Number of responses:
40
Source of the data:
- Befolkningsgrupp
Geographic coverage
Geographic coverage
Geographic location:
Administrative information
Administrative information
Contributor(s):
- Jeremy Azzopardi – Chalmers tekniska högskola
- Martin Borg – Högskolan i Borås
- Leon Boschman – Chalmers tekniska högskola
- Jürg Brendan Logue – Sveriges lantbruksuniversitet
- Madeleine Dutoit – Svensk nationell datatjänst
- Pieta Eklund – Högskolan i Borås
- Stefan Ekman – Svensk nationell datatjänst
- Daniela Garcia Soriano – Chalmers tekniska högskola
- Elin Hallman – Svensk nationell datatjänst
- Andreas Hellgren – Handelshögskolan i Stockholm
- Lars-Owe Ivarsson – Uppsala universitet
- Fabio Latino – Chalmers tekniska högskola
- Marcus Lundberg – Uppsala universitet
- Sahar Mahdie Klim al-Zaidawi – Chalmers tekniska högskola
- Leonard Nielsen – Chalmers tekniska högskola
- Nora Speicher – Chalmers tekniska högskola
- Arin Tham – Svensk nationell datatjänst
- Ylva Toljander – Sveriges lantbruksuniversitet
- Signe Wulund – Högskolan i Borås
- Hanna Östholm – Sveriges lantbruksuniversitet
- Signe Schjøtt – Svensk nationell datatjänst
Topic and keywords
Topic and keywords
Swedish Standard Classification of Research Subjects 2025:
Relations
Relations
Website:
Publications
Publications
Citation:
Swedish National Data Service, & Lassi, M. (2026). Projektrapport KAFFE (Version 3). Zenodo. https://doi.org/10.5281/zenodo.20539233
