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A Position Statement on Population Data Science: The Science of Data about People.

Kimberlyn M McGrail1, Kerina Jones2, Ashley Akbari2

  • 1The University of British Columbia, School of Population and Public Health, 2206 East Mall, Vancouver, BC Canada V6T 1Z3.

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Population Data Science, the science of data about people, is a new interdisciplinary field. It aims to use large, complex datasets for societal benefit while protecting privacy and building ethical infrastructure.

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Area of Science:

  • Population Data Science
  • Data Science
  • Informatics

Background:

  • Increasingly digital information enables use of large, complex datasets for societal issues.
  • Data-intensive science offers benefits but faces challenges in privacy, public good, and infrastructure.
  • Existing fields like data science and informatics are related but distinct.

Purpose of the Study:

  • To define the emerging field of Population Data Science.
  • To address challenges in balancing individual privacy with public good.
  • To establish socio-technical systems for data-intensive research.

Main Methods:

  • Expert engagement
  • Literature review
  • Iterative conversations

Main Results:

  • Population Data Science is defined as the science of data about people.
  • It involves data for positive societal impact, multi-source data analysis, population-level insights, and ethical infrastructure.
  • The field is inherently multi-disciplinary, requiring diverse expertise.

Conclusions:

  • Defining Population Data Science helps address privacy and public good challenges.
  • It necessitates advancements in data linkage, analytics, and public engagement.
  • A collective approach to Population Data Science can drive significant understanding of societal, health, and behavioral trends.