Data sharing policies, requirements, and support from public and private clinical trial sponsors: a survey on top sponsors of clinical trials in Europe
Tai, K. H.; Varvara, G.; Escoffier, E.; Mansmann, U.; DeVito, N. J.; Vieira Armond, A. C.; Naudet, F.
Show abstract
Objective To map the presence, public availability, and content of clinical trial data sharing policies (DSP), data management and sharing plans (DMSP), and data use agreements (DUA) among the most prolific public and private clinical trial sponsors operating in the European Union, and to identify key areas of convergence, divergence, and constraint in the context of General Data Protection Regulation (GDPR). Eligibility criteria We included organisation-level documents describing approaches to clinical trial data sharing or data management from the top 20 public and top 20 private sponsors ranked by the number of trials registered in the EU Clinical Trials Information System (CTIS). Eligible materials comprised publicly available or sponsor-shared policies, guidelines, statements, templates, and agreements relevant to clinical trial data sharing or management. Sources of evidence Evidence was identified through systematic searches of sponsors' public websites, structured Google searches, and major data management plan platforms (DMPTool, DMPonline, DMP Assistant), complemented by direct contact with sponsors to verify findings and request missing documentation. All sources were archived and catalogued. Charting methods Two reviewers independently extracted data using a structured form, capturing the existence, accessibility, and content of data sharing policies, data management and sharing plans, and data use agreements. Quantitative data were summarised descriptively, and a non-interpretive descriptive content analysis was conducted to characterise recurring policy elements and areas of heterogeneity. Results Among 40 sponsors, private sponsors were substantially more likely than public sponsors to make trial-specific data sharing policies and data use agreements publicly accessible, often via established data sharing platforms. Public sponsors more frequently referenced data management and sharing plans, but these were heterogeneous in scope and often embedded within broader institutional governance documents rather than tailored to clinical trials. Across sectors, GDPR compliance, data protection, and legal safeguards were emphasised, while operational aspects such as dataset readiness, review criteria, and downstream responsibilities varied widely. Overall response rate to sponsor verification was 37.5%. Conclusion Clinical trial data sharing governance in the EU shows a marked sectoral imbalance among the top sponsors. Private sponsors tend to provide more detailed and operationally explicit documentation, whereas public sponsors often articulate high-level commitments without trial-specific guidance. Greater clarity and standardisation, particularly among public sponsors, could improve transparency and facilitate responsible data reuse, while remaining compatible with GDPR requirements.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Results reporting for clinical trials led by medical universities and university hospitals in the Nordic countries was often missing or delayed 95%
- Results dissemination from clinical trials conducted at German university medical centres was delayed and incomplete 95%
- The use of the Registered Reports format for publication of randomized clinical trials: a cross-sectional study 94%
Similar papers in this journal
- Improving research transparency with individualized report cards: A feasibility study in clinical trials at a large university medical center 96%
- Investigator-initiated versus industry-sponsored trials – Visibility and relevance of randomized controlled trials in clinical practice guidelines (IMPACT) 94%
- Approaches in Analyzing Predictors of Trial Failure: A Scoping Review and Meta-epidemiological study 93%
Similar papers in this journal
- Reporting of Retrospective Registration in Clinical Trial Publications 95%
- Comparison of preprints and final journal publications from COVID-19 Studies: Discrepancies in results reporting and spin in interpretation 93%
- An Analysis of Controlled Human Infection Studies Registered on ClinicalTrials.gov 93%
Similar papers in this journal
- Dynamic methods for ongoing assessment of site-level risk in risk-based monitoring of clinical trials: a scoping review 92%
- Evidence Supporting EMA Drug Approvals (2020-2023): A Cross-Sectional Study of Trial Design and Outcomes 92%
- A modular pipeline for natural language processing-screened human abstraction of a pragmatic trial outcome from electronic health records 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.