Databrary

Abstract

Video and audio recordings serve as a primary data source in many fields, especially in the social and behavioral sciences. Recordings present unique opportunities for reuse and reanalysis for novel scientific purposes, but also present challenges related to respecting the privacy of individuals depicted. Databrary is a web-based service for sharing and reusing the video data created by researchers in the developmental and learning sciences. By investigating how researchers organize, analyze, and mine their own recordings, we have implemented a system that empowers researchers to capture, store, and share recordings in a standardized way. This demo will provide a tour through the Databrary service, highlighting how it promotes storage, management, sharing, and reuse of research data, controls access privileges to restricted human subject data, and facilitates browsing and discoverability of datasets.

Shedding light on functional near-infrared spectroscopy and open science practices

“…Another consideration is that researchers must ensure that participants are fully informed about the scope and specificity of the data that will be shared, as well as the public nature of online repositories (see Refs. 47 and 48 for templates of consent form language for sharing data with other researchers). Users of secondary data must also be careful when handling data, especially if those data are identifiable or potentially identifiable (e.g., photos, zip codes, job descriptions).…”

Realistic and broad-scope learning simulations: first results and challenges

“…As data is the crux of any language learning simulation, we believe constant efforts must be put in place to collect and share ecological learning environments. On this front, we would like to highlight important initiatives such as the privacy-preserving sharing platforms for long-form audio recordings (VanDam et al, 2016) or video data (Simon, Gordon, Steiger & Gilmore, 2015), and the DARCLE (DAylong Recordings of Children’s Language Environments, DARCLE.org, n.d.) community.…”

“…Similarly to HomeBank (VanDam et al, 2016) or Databrary (Simon et al, 2015), we believe both the AI and the psycholinguistics communities would greatly benefit from a privacy-preserving platform to share stimuli – as well as responses – used in psychology experiments. Such a platform would allow researchers to 1) re-use stimuli as new hypotheses arise; 2) revisit stimuli – or responses – to control for confounding factors, or in the context of meta-analytic studies; and 3) create benchmarks that aim at comparing humans and machines.…”

“…As data is the crux of any language learning simulation, we believe constant efforts must be put in place to collect and share ecological learning environments. On this front, we would like to highlight important initiatives such as the privacy-preserving sharing platforms for long-form audio recordings (VanDam et al, 2016) or video data (Simon, Gordon, Steiger & Gilmore, 2015), and the DARCLE (DAylong Recordings of Children's Language Environments, DARCLE.org, n.d.) community. We believe these initiatives must become standard practices as they can transform our understanding of language development by enabling incremental and reproducible science and fueling language learning simulations with realistic data.…”

Adapting open science and pre‐registration to longitudinal research

“…For instance, the Databrary project (Simon et al, 2015) provides templates for obtaining consent for sharing identifiable data with researchers who have been authorized to access the data and who have signed an access agreement to use the data in accordance with ethical principles.…”