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Public Involvement and Engagement in Big Data Research: Scoping Review.

Piotr Teodorowski1, Elisa Jones2, Naheed Tahir3

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Public involvement and engagement are crucial for the success of big data research initiatives. This review synthesizes evidence on how to effectively involve and engage the public, highlighting potential outcomes and implementation strategies.

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PPIbig dataco-designcoproductiondata scienceengagementinvolvementpatient and public involvementpatient engagement

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Area of Science:

  • Public Health
  • Data Science
  • Research Methodology

Background:

  • Public support is essential for the success of big data initiatives.
  • Public involvement and engagement can foster this necessary support for big data research.

Purpose of the Study:

  • To synthesize existing evidence on public involvement and engagement in big data research.
  • To identify methods, participants, and outcomes associated with public engagement in this field.

Main Methods:

  • A scoping review was conducted, searching five electronic databases.
  • Additional searches in Google Scholar and gray literature were performed.
  • Two public contributors participated throughout the review process.

Main Results:

  • Fifty-three papers were included in the review.
  • The review identified diverse methods for public involvement and engagement in big data research.
  • Key findings detail who can be involved, the importance of context, and potential outcomes.

Conclusions:

  • The review offers an overview of current evidence on public involvement and engagement in big data research.
  • Findings illustrate practical implementation strategies and potential benefits, despite reliance on discussion papers.
  • Further research is recommended to optimize public engagement in big data initiatives.