Back to search

Sharing Big Video Data: Ethics, Methods, and Technology

DSEID
DSEID-001-0802143
DOI
10.1177/00491241241277524
Journal
Sociological Methods & Research
Publisher
SAGE Publications
Published
2026-2
Status
failed

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.

Ingestion failed: Traceback (most recent call last): File "/srv/app/app/worker.py", line 85, in run_once process_job(db, job) File "/srv/app/app/worker.py", line 39, in process_job pdf_path, info = fetch_pdf_temp(candidate["url"]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/srv/app/app/downloader.py", line 129, in fetch_pdf_temp raise ValueError(f"PDF source returned HTTP {response.status_code}.") ValueError: PDF source returned HTTP 403.

PDF

No local PDF is available.

GROBID Extracted text; discontinued.

This text is generated from TEI extraction for accessibility, search, and TTS. Formulas, tables, figures, page layout, and references may not perfectly match the original PDF.

No accessible text representation is available. The text extraction service has been discontinued for the time being. If you require this service, for accessibility or any other reason, please submit an issue/request on this page.

Metadata

Title
Sharing Big Video Data: Ethics, Methods, and Technology
Delta ID
DSEID-001-0802143
Authors
Joanne W. Golann, Lori Bougher, Richard Hall, Thomas J. Espenshade
Abstract source
crossref
Source URL
https://journals.sagepub.com/history/597c627b-cbca-4977-89cd-367695a5fd42/00491241241277524.17323664.pdf
Access
open
Licence
cc-by-nc
PDF SHA-256
TEI SHA-256
GROBID

Issues

No public issues have been filed for this DOI.

Submit an issue

Record history

WhenEventFieldOldNew
2026-06-18 19:37:53.011249+00:00identifier_assignedDSEIDDSEID-001-0802143