Sharing Big Video Data: Ethics, Methods, and Technology
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| Title: | Sharing Big Video Data: Ethics, Methods, and Technology |
|---|---|
| Language: | English |
| Authors: | Joanne W. Golann (ORCID |
| Source: | Sociological Methods & Research. 2026 55(1):340-372. |
| Availability: | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com |
| Peer Reviewed: | Y |
| Page Count: | 33 |
| Publication Date: | 2026 |
| Sponsoring Agency: | National Science Foundation (NSF) |
| Contract Number: | 2214309 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Video Technology, Databases, Information Management, Information Security, Information Storage, Access to Information, Technological Advancement, Data Use |
| Geographic Terms: | New Jersey |
| DOI: | 10.1177/00491241241277524 |
| ISSN: | 0049-1241 1552-8294 |
| 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. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1496175 |
| Database: | ERIC |
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| 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. |
|---|---|
| ISSN: | 0049-1241 1552-8294 |
| DOI: | 10.1177/00491241241277524 |
