Generalisable Overview of Study Risk for Lead Investigators Needing Guidance (GOSLING): A data governance risk tool
GOSLING represents the first quantitative approach to measuring study risk, answering calls for standardised risk assessments in using health data for research. Its implementation could contribute to advancing ethical data use, enhancing research transparency, and promoting public trust. Future work will focus on expanding its applicability and exploring its impact on research efficiency and data governance practices.
Authors
- Anmol Arora (ORCID: https://orcid.org/0000-0003-4881-8293)
- Sarah Burge (ORCID: https://orcid.org/0000-0002-2506-927X)
- Ari Ercole (ORCID: https://orcid.org/0000-0001-8350-8093)
- Amy Gosling (ORCID: https://orcid.org/0000-0001-6594-5062)
- Helen Street
- R. Jena (ORCID: https://orcid.org/0000-0002-3803-5968)
- Adam Loveday
- Sarah Pountain
- Stephanie Kabare
Institutions
- University Hospitals Birmingham NHS Foundation Trust (GB)
- University of Cambridge (GB)
- Cambridge University Hospitals NHS Foundation Trust (GB)
- Cancer Research UK Cambridge Center (GB)
Publication Details
- Journal
- PLoS ONE
- Published
- 2024-08-20
- DOI
- https://doi.org/10.1371/journal.pone.0309308
- Primary Topic
- Ethics in Clinical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00