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Published on: May 17, 2014
Orchestrating differential data access for translational research: a pilot implementation
Marco Brandizi1, Olga Melnichuk2, Raffael Bild3
1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, CB10 1SD, UK. brandizi@ebi.ac.uk.
Researchers can use common open source software to build secure systems for accessing sensitive biomedical data. This pilot system demonstrates a feasible approach for managing differential access to research data, offering valuable lessons for similar projects.
Area of Science:
- Biomedical Informatics
- Data Security
- Biobanking Research
Background:
- Translational researchers require IT solutions for diverse data types, including sensitive patient information.
- Managing access to human data involves complex ethical, social, and legal considerations like confidentiality and consent.
- Differential access management is crucial for sensitive data in research settings.
Purpose of the Study:
- To present a pilot system for coordinating access to heterogeneous biomedical data repositories.
- To demonstrate the use of common open source software for managing open and restricted access data.
- To address the need for secure and differential access to sensitive biobanking and biosample research data.
Main Methods:
- Assembled and configured common open source software components.
- Implemented a digital identity federation for access control.
- Developed software to manage resource access entitlements for heterogeneous data repositories.
Main Results:
- The pilot system successfully allows for differential restricted access based on data protection needs.
- Performance, feasibility, and reproducibility of the pilot infrastructure were assessed.
- Common open source software proved sufficient for creating a secure differential access system.
Conclusions:
- Common open source software can create secure systems for differential access to sensitive data.
- The pilot implementation offers practical experience and lessons for researchers with similar data access requirements.
- The system architecture can be extended for more complex data access scenarios.
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