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Towards a virtual anonymisation grid for unified access to remote clinical data
1National e-Science Centre, University of Glasgow, UK. r.sinnott@nesc.gla.ac.uk
Studies in Health Technology and Informatics
|June 19, 2008
Summary
This study introduces a secure system for anonymous data access and linkage in clinical research. It addresses challenges in information governance and security for post-genomic studies.
Area of Science:
- Bioinformatics
- Health Informatics
- Computer Science
Background:
- Grid technologies facilitate data access across distributed resources.
- Clinical research faces significant challenges in adopting Grid technologies due to data governance, ethics, and security concerns.
- Post-genomic research demands robust solutions for data integration and access.
Purpose of the Study:
- To outline a novel system design for secure anonymous data access and linkage.
- To meet the needs of diverse stakeholders in clinical research, including researchers, data providers, and ethical oversight bodies.
- To address critical information governance and security criteria in the clinical domain.
Main Methods:
- Re-factoring existing solutions from the Medical Research Council funded Virtual Organisations for Trials and Epidemiological Studies (VOTES) project.
- Developing a novel system architecture for secure and anonymous data handling.
- Implementing solutions that comply with information governance and ethical standards.
Main Results:
- A novel system design for secure anonymous data access and linkage has been developed.
- The system is tailored to meet the specific requirements of end-user researchers, data providers, and ethical oversight bodies.
- Existing solutions are being adapted to enhance data security and governance in clinical research.
Conclusions:
- The proposed system offers a viable solution for secure and anonymous data access and linkage in clinical research.
- Addressing information governance and security is crucial for the adoption of Grid technologies in post-genomic research.
- The re-factored VOTES project solutions provide a foundation for meeting the evolving needs of clinical data management.
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