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(Hyper)active Data Curation: A Video Case Study from Behavioral Science.

Kasey C Soska1, Melody Xu1, Sandy L Gonzalez1

  • 1New York University.

Journal of Escience Librarianship
|September 17, 2021
PubMed
Summary
This summary is machine-generated.

Researchers can overcome video data curation challenges using active data curation. This method involves immediate data uploading after collection, enabling instant sharing and promoting open science practices in behavioral research.

Keywords:
active curationbehavioral sciencedata curationidentifiable datavideo data

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Area of Science:

  • Social and Behavioral Sciences
  • Research Methodology
  • Data Curation

Background:

  • Video data offers unique research potential but presents significant curation challenges for social and behavioral scientists.
  • Traditional post hoc data curation at publication time is burdensome and hinders timely data sharing.

Purpose of the Study:

  • To introduce and advocate for active data curation as a solution to the challenges of video data management.
  • To present Databrary as a platform supporting active and hyperactive data curation and sharing.
  • To demonstrate the application of hyperactive curation through a case study.

Main Methods:

  • Implementing active data curation: immediate data curation and uploading after each data collection session.
  • Utilizing Databrary, a secure web-based library for managing and sharing video data and metadata.
  • Adopting a "hyperactive" curation approach, sharing all research process steps.
  • Employing standardized workflows for data collection, annotation, and curation in a multi-site project.

Main Results:

  • Active curation allows for instantaneous data sharing with a single action.
  • The "hyperactive" approach facilitates open science by sharing every research step.
  • The Play and Learning Across a Year (PLAY) project successfully implemented hyperactive curation for infant-mother interaction video data.
  • Standardized workflows ensured data quality and facilitated collaborative research across multiple sites.

Conclusions:

  • Active and hyperactive data curation are effective strategies to streamline video data management in the social and behavioral sciences.
  • Platforms like Databrary are essential for enabling secure, efficient, and immediate sharing of sensitive video data.
  • This approach promotes collaborative research, enhances data quality, and maximizes research reuse throughout the entire research lifecycle.