Improving transparency and quality assurance: Operationalising semi-automated data provenance tracking in a Trusted Research Environment
Katherine O'Sullivan, Milan Markovic, Jaroslaw Dymiter, Adrian Martin, Chinasa Odo, Helen Rowlands, Ana Ciocarlan, Katie Wilde, Arlene Casey · 2024
Read Improving transparency and quality assurance: Operationalising semi-automated data provenance tracking in a Trusted Research Environment by Katherine O'Sullivan, Milan Markovic, Jaroslaw Dymiter, Adrian Martin, Chinasa Odo, Helen Rowlands, Ana Ciocarlan, Katie Wilde, Arlene Casey (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13177943.txt.
Description
Katherine O'Sullivan and co-authors present a 2024 dashboard that tracks where linked health data came from, inside a trusted research setting. Linking data in such a haven must stay open to audit, so staff can prove each step was sound. The team built a first working form of the tool and tested it in real use.
Design ran in four stages, from joint sketches with users to a refined data model and a semi-automated capture step. Public talks checked that the design kept public trust. The final dashboard runs as an offline desktop app, shaped to haven rules.
Catalog record
| CREATOR | Katherine O'Sullivan, Milan Markovic, Jaroslaw Dymiter, Adrian Martin, Chinasa Odo, Helen Rowlands, Ana Ciocarlan, Katie Wilde, Arlene Casey |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 2 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |