Sharing digital trace data: Researchers’ challenges and needs

Over the past decade, research has made rapid progress in the collection and analysis of digital trace data. However, when it comes to sharing data, researchers still face major barriers that often limit or prevent the reproducibility of research results and the reuse of data. Against this backdrop, we identify three broader categories of user challenges, namely researchers’ capacities & incentives, legal & ethical challenges, and technical hurdles. We describe in detail the problems researchers face in each category and why these often prevent researchers from sharing data, thus limiting both the reproducibility of research outputs and data reuse in other research projects. We conclude each category with specific needs of researchers for sharing digital trace data and making it reusable for others. These are intended to provide researchers as well as research institutes and repositories with approaches to improve the situation of data sharing.

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Publication Details

Journal
Big Data & Society
Published
2025-03-01
DOI
https://doi.org/10.1177/20539517251325211
Citations
3
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
7.44
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article

Sharing digital trace data: Researchers’ challenges and needs

Reiner Mauer, Jan Schwalbach
3 citations
Big Data & Society
Privacy-Preserving Technologies in Data
7.44
article

Sharing digital trace data: Researchers’ challenges and needs

Reiner Mauer, Jan Schwalbach
article en
3 citations

Abstract

Over the past decade, research has made rapid progress in the collection and analysis of digital trace data. However, when it comes to sharing data, researchers still face major barriers that often limit or prevent the reproducibility of research results and the reuse of data. Against this backdrop, we identify three broader categories of user challenges, namely researchers’ capacities & incentives, legal & ethical challenges, and technical hurdles. We describe in detail the problems researchers face in each category and why these often prevent researchers from sharing data, thus limiting both the reproducibility of research outputs and data reuse in other research projects. We conclude each category with specific needs of researchers for sharing digital trace data and making it reusable for others. These are intended to provide researchers as well as research institutes and repositories with approaches to improve the situation of data sharing.

Big Data & SocietyVol. 12(1)
GESIS - Leibniz Institute for the Social Sciences (DE)
Openalex Percentile: Top 4%
Privacy-Preserving Technologies in Data
7.44
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