Episode Details

Summary

Every business collects data in some fashion, but sometimes the true value of the collected information only comes when it is combined with other data sources. Data trusts are a legal framework for allowing businesses to collaboratively pool their data. This allows the members of the trust to increase the value of their individual repositories and gain new insights which would otherwise require substantial effort in duplicating the data owned by their peers. In this episode Tom Plagge and Greg Mundy explain how the BrightHive platform serves to establish and maintain data trusts, the technical and organizational challenges they face, and the outcomes that they have witnessed. If you are curious about data sharing strategies or data collaboratives, then listen now to learn more!

Announcements

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• Your host is Tobias Macey and today I’m interviewing Tom Plagge and Gregory Mundy about BrightHive, a platform for building data trusts

Interview

• Introduction
• How did you get involved in the area of data management?
• Can you start by describing what a data trust is?
  • Why might an organization want to build one?
• What is BrightHive and what is its origin story?
• Beyond having a storage location with access controls, what are the components of a data trust that are necessary for them to be viable?
• What are some of the challenges that are common in establishing an agreement among organizations who are participating in a data trust?
  • What are the responsibilities of each of the participants in a data trust?
  • For an individual or organization who wants to participate in an existing trust, what is involved in gaining access?
• How does BrightHive support the process of building a data trust?
• How is ownership of derivative data sets/data products and associated intellectual property handled in the context of a trust?
• How is the technical architecture of BrightHive implemented and how has it evolved since it first started?
• What are some of the ways that you appro