FAIR, GDPR and Qualitative Data: Respecting personal data vs respectable research

All research data should be FAIR and as open as possible. However, qualitative research data (including interviews, photographs and videos) often contains personal information and is regulated by privacy legislation. Is FAIR compatible with GDPR? And could both FAIR and GDPR stand in the way for high-quality qualitative research? In this session, support staff and researchers will discuss the challenges when sharing qualitative research in a FAIR and legal way. Speakers Kristian Sandbekk Norsted, Senior Adviser, Østfold University College Library Kristian Sandbekk Norsted coordinates Østfold University College’s work with open science. He holds a PhD in cultural anthropology from Uppsala University and has formal training in privacy and GDPR. Jan Ketil Simonsen, Professor, Norwegian University of Science and Technology Jan Ketil Simonsen is a professor of social anthropology at NTNU. His has extensive experience from field research in Zambia, focusing on rural-urban migration, kinship, and ritual. He is a past member of a national board on ethics in ethnographic field research in relation to GDPR. Hildur Thorarensen, Senior Adviser, Sikt Data Protection Services Hildur Thorarensen has a background in social anthropology and has been working as a Senior Advisor in Sikt Data Protection Services (formerly NSD) since 2012. Her work has focused extensively on identifying opportunities for research within privacy regulations and removing barriers to data sharing. The event was arranged and hosted by NO-RDA Task 3: Training and Outreach

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-24
DOI
https://doi.org/10.5281/zenodo.13987023
Primary Topic
Data Analysis and Archiving
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FAIR, GDPR and Qualitative Data: Respecting personal data vs respectable research

Zenodo (CERN European Organization for Nuclear Research)
Data Analysis and Archiving
article

FAIR, GDPR and Qualitative Data: Respecting personal data vs respectable research

article en

Abstract

All research data should be FAIR and as open as possible. However, qualitative research data (including interviews, photographs and videos) often contains personal information and is regulated by privacy legislation. Is FAIR compatible with GDPR? And could both FAIR and GDPR stand in the way for high-quality qualitative research? In this session, support staff and researchers will discuss the challenges when sharing qualitative research in a FAIR and legal way. Speakers Kristian Sandbekk Norsted, Senior Adviser, Østfold University College Library Kristian Sandbekk Norsted coordinates Østfold University College’s work with open science. He holds a PhD in cultural anthropology from Uppsala University and has formal training in privacy and GDPR. Jan Ketil Simonsen, Professor, Norwegian University of Science and Technology Jan Ketil Simonsen is a professor of social anthropology at NTNU. His has extensive experience from field research in Zambia, focusing on rural-urban migration, kinship, and ritual. He is a past member of a national board on ethics in ethnographic field research in relation to GDPR. Hildur Thorarensen, Senior Adviser, Sikt Data Protection Services Hildur Thorarensen has a background in social anthropology and has been working as a Senior Advisor in Sikt Data Protection Services (formerly NSD) since 2012. Her work has focused extensively on identifying opportunities for research within privacy regulations and removing barriers to data sharing. The event was arranged and hosted by NO-RDA Task 3: Training and Outreach

Zenodo (CERN European Organization for Nuclear Research)
Norwegian University of Science and Technology (NO)
Openalex Percentile: Top 43%
Data Analysis and Archiving
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.