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Implementing a successful data-management framework: the UK10K managed access model.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Data Science

Background:

  • Open access principles in scientific research are evolving.
  • The UK10K Project aimed to investigate low-frequency/rare genetic variants in human disease.
  • Delivering a large-scale genomic sequencing project presents data-sharing challenges.

Purpose of the Study:

  • To outline the history of open access principles.
  • To describe the development of a managed access data-sharing process for the UK10K Project.
  • To reconcile data-sharing principles with practicalities for a large-scale genomic project.

Main Methods:

  • Development of a sustainable and user-friendly managed access system.
  • Focus on key issues in the data pipeline: study recruitment, data release, and data access.
  • Balancing rapid data access with participant and data generator interests.

Main Results:

  • Successful implementation of a managed access system for the UK10K genomic data.
  • Facilitated rapid access to genomic data while ensuring participant privacy and data integrity.
  • Provided a robust data resource for future human genetics research.

Conclusions:

  • Managed access systems can effectively balance open data principles with ethical considerations.
  • The UK10K data-sharing model provides a sustainable framework for large-scale genomic projects.
  • This approach supports advancements in understanding human disease genetics.