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 - Interview
Data collection - Interview
Mode of collection:
Interview
Description of the mode of collection:
Three persons attended each interview: the interviewee (called Participant in the transcripts), the interviewer and a note taker. The interview followed a structured interview guide (see Interview_guide_EN.pdf). An illustration was further used as a base for discussion and as visual aid in the conversations. During the interview, the participant was able to view the notes that were taken and had the opportunity to make changes or add information. See Notetaking_sheet_EN.pdf for this document.
Time period(s) for data collection:
2025-05-08 - 2025-10-06
Data collector:
- Swedish National Data Service
Opens a new window at ror.org.
ROR
Number of responses:
40
Source of the data:
- Population group
Geographic coverage
Geographic coverage
Geographic location:
Administrative information
Administrative information
Contributor(s):
- Jeremy Azzopardi – Chalmers University of Technology
- Martin Borg – University of Borås
- Leon Boschman – Chalmers University of Technology
- Jürg Brendan Logue – Swedish University of Agricultural Sciences
- Madeleine Dutoit – Swedish National Data Service
- Pieta Eklund – University of Borås
- Stefan Ekman – Swedish National Data Service
- Daniela Garcia Soriano – Chalmers University of Technology
- Elin Hallman – Swedish National Data Service
- Andreas Hellgren – Stockholm School of Economics
- Lars-Owe Ivarsson – Uppsala University
- Fabio Latino – Chalmers University of Technology
- Marcus Lundberg – Uppsala University
- Sahar Mahdie Klim al-Zaidawi – Chalmers University of Technology
- Leonard Nielsen – Chalmers University of Technology
- Nora Speicher – Chalmers University of Technology
- Arin Tham – Swedish National Data Service
- Ylva Toljander – Swedish University of Agricultural Sciences
- Signe Wulund – University of Borås
- Hanna Östholm – Swedish University of Agricultural Sciences
- Signe Schjøtt – Swedish National Data Service
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
