Work

Experiences Regarding Anonymising and Publishing Personal Data as Open Data in Germany: Results of an Online Survey

Year: 2025

Type: article

Abstract: Introduction: The anonymisation of Personal Data (PD) and its release as Open Data (OD) hold considerable potential for innovation across health, research, public administration, and the economy. However, practical experiences regarding data anonymisation and OD publication remain underexplored in Germany. This study empirically investigates the current state of anonymised data practices, the barriers to implementation, and the desired support mechanisms for publishing formerly PD as OD. Methods: Embedded in a mixed-methods approach, this cross-sectional study examines research interest in the collection, processing, and use of anonymised data, as well as potential barriers and support services for the anonymisation and publication of former PD. A nationwide online survey was conducted in October–November 2024 via LimeSurvey. A total of 215 responses were included in the descriptive analysis. Results: The findings indicate limited experience with PD anonymisation and OD publication across industries. The potential added value of these processes was often not fully recognised, and data-handling responsibilities were rarely standardised. Data collectors, data protection officers, and IT departments were identified as the most frequently involved parties in these processes. Technical and educational support were the most desired forms of assistance. Discussion: To foster broader OD utilisation, stakeholders require comprehensive support. According to the sample, specific training and further education on the anonymisation and publishing process, as well as the desired software, are most important. Developing standardised process descriptions that integrate ethical and legal considerations, supported by national networks or governmental institutions, could significantly enhance the responsible and effective use of anonymised OD in Germany.

Source: Information

DOI: 10.3390/info16121111

Authors: Norbert Lichtenauer, Lukas Schmidbauer, Florian Wahl, Sebastian Wilhelm

Institution: Deggendorf Institute of Technology

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,930

Funder: European Commission