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Sharing Big Video Data: Ethics, Methods, and Technology

Author

Listed:
  • Joanne W. Golann
  • Lori Bougher
  • Richard Hall
  • Thomas J. Espenshade

Abstract

Data sharing and transparency are becoming more common across the social sciences. In this article, we provide an overview of ethical, methodological, and technological considerations and challenges when developing large video-based datasets intended to be shared across researchers. We cover data security, storage, and access as well as data documentation, tagging, and transcription. Our discussions are framed by our own efforts to create a secure and user-friendly database for the New Jersey Families Study, a two-week, in-home video study of 21 families with a 2- to 4-year-old child. In collecting over 11,470 hours of video data, the New Jersey Families Study is one of the very few large-scale video projects in the field of sociology. This project has provided us with a unique opportunity to explore video data management and data sharing techniques, particularly in light of a host of cutting-edge developments in data science.

Suggested Citation

  • Joanne W. Golann & Lori Bougher & Richard Hall & Thomas J. Espenshade, 2026. "Sharing Big Video Data: Ethics, Methods, and Technology," Sociological Methods & Research, , vol. 55(1), pages 340-372, February.
    • Handle: RePEc:sae:somere:v:55:y:2026:i:1:p:340-372
    DOI: 10.1177/00491241241277524
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    References listed on IDEAS

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    1. Daniel Goroff & Jules Polonetsky & Omer Tene, 2018. "Privacy Protective Research: Facilitating Ethically Responsible Access to Administrative Data," The ANNALS of the American Academy of Political and Social Science, , vol. 675(1), pages 46-66, January.
    2. Dietrich, Bryce J., 2021. "Using Motion Detection to Measure Social Polarization in the U.S. House of Representatives," Political Analysis, Cambridge University Press, vol. 29(2), pages 250-259, April.
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