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DS-PACK: Tool assembly for the end-to-end support of controlled access human data sharing
Pinar Alper1,2, Vilém Dĕd3,4, Sascha Herzinger3,4
1Luxembourg National Data Service, PNED GIE, Esch-sur-Alzette, L-4362, Luxembourg. pinar.alper@elixir-luxembourg.org.
The EU General Data Protection Regulation (GDPR) necessitates federated data sharing. DS-PACK is an open-source tool assembly that semi-automates controlled access processes for sensitive human data, aiding research institutions.
Area of Science:
- Genomics
- Data Science
- Bioinformatics
Background:
- The EU General Data Protection Regulation (GDPR) mandates a shift towards federated models for sensitive human data sharing.
- Centralized genome-phenome archives are transitioning to federated systems to comply with data protection regulations.
- Research institutions often struggle with the resources needed to implement controlled data access processes.
Purpose of the Study:
- To introduce DS-PACK, a reusable, open-source middleware solution.
- To semi-automate end-to-end controlled access processes for sensitive human data, from submission to access.
- To embed data protection principles within data sharing infrastructure.
Main Methods:
- Development of DS-PACK as a middleware tool assembly.
- Centralized access control management with distributed enforcement.
- Integration with cloud-based applications for data access.
- Implementation in a production environment at the ELIXIR Luxembourg data hosting platform.
Main Results:
- DS-PACK provides a semi-automated solution for controlled data access processes.
- The tool assembly ensures data protection principles are integrated throughout.
- It centralizes access control management while distributing enforcement.
- DS-PACK supports data access via cloud-based applications.
Conclusions:
- DS-PACK facilitates compliance with GDPR for federated data sharing.
- The tool assembly empowers research institutions by simplifying controlled access implementation.
- Its production use demonstrates a viable operational model for secure, federated data sharing.
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