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Four questions to guide decision-making for data sharing and integration.

Amy Hawn Nelson1, Sharon Zanti1

  • 1University of Pennsylvania, Actionable Intelligence for Social Policy.

International Journal of Population Data Science
|February 29, 2024
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Summary

This framework guides ethical data integration by asking four key questions: Is it legal, ethical, a good idea, and how do we know? It supports robust data governance for successful data sharing and integration projects.

Keywords:
data governanceethical data sharinglegal frameworks for data integration

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Area of Science:

  • Data Science
  • Information Governance
  • Public Health Informatics

Background:

  • Effective data integration requires a strong legal and ethical foundation.
  • Existing frameworks may not be universally adaptable to diverse data integration contexts.

Purpose of the Study:

  • To present a Four Question Framework for guiding ethical data use in data integration.
  • To provide a simple, adaptable tool for establishing data governance and legal foundations.

Main Methods:

  • Developed through public deliberation workgroups and 15 years of field experience.
  • Framework consists of four core questions: Is this legal? Is this ethical? Is this a good idea? How do we know (and who decides)?

Main Results:

  • The Four Question Framework aids in determining the legality and ethics of data sharing and integration.
  • It facilitates decision-making for building Integrated Data Systems (IDS) and managing data projects.

Conclusions:

  • Robust data governance is crucial for legal, ethical, and contextually appropriate data sharing.
  • The Four Question Framework, integrated into governance processes, supports iterative and collaborative data integration.