Databrary Guide

Share data & materials: Discover more, faster.

Authors

Rick Gilmore

Andrea Seisler

Melody Xu

Yinghe Liu

Published

August 6, 2024

Preface

This document describes the Databrary.org data library and how to use it effectively as a tool for safely and securely sharing identifiable research data including video and audio.

Databrary is used by a large and growing community of researchers across the globe, including some large scale research projects (Soska et al., 2021) run by Databrary’s co-founders, Karen Adolph and Rick Gilmore, and their collaborators.

Databrary’s founders believe that the widespread use of video can improve the reproducibility of many different areas of research (Adolph, K.E., Gilmore, R.O., & Kennedy, J.L., 2017; Gilmore & Adolph, 2017).

About the guide

This guide is built using Quarto and hosted using GitHub pages. Please feel free to report an issue or edit the page and make a pull request.

Quarto implements a search feature that works site-wide:

Search bar from the Guide

Please make use of this feature to find what you are looking for.

You may also find the definitions page useful to understand specific terms. Databrary-specific terms are highlighted in italics on first mention on a page, and most of the time these first-mentions link to a corresponding definition.

About the authors

Rick Gilmore is Professor of Psychology at Penn State and is the Co-Founder and Co-Director of Databrary.

Andrea Seisler manages the Brain and Behavioral Dynamics Laboratory at Penn State and is the Authorizations and Support Specialist for Databrary.

Melody Xu was a User Support Specialist at Databrary until she began a Ph.D. program at Johns Hopkins University in August 2023.

Yinghe Liu is an undergraduate student majoring in Psychology at Penn State. He works as a research assistant in two faculty labs, and he has contributed to improving the Databrary Guide since Fall 2023.

Adolph, K.E., Gilmore, R.O., & Kennedy, J.L. (2017). Video as data and documentation will improve psychological science. https://www.apa.org/science/about/psa/2017/10/video-data. Retrieved from https://www.apa.org/science/about/psa/2017/10/video-data
Gilmore, R. O., & Adolph, K. E. (2017). Video can make behavioural science more reproducible. Nature Human Behaviour, 1(7). https://doi.org/10.1038/s41562-017-0128
Soska, K. C., Xu, M., Gonzalez, S. L., Herzberg, O., Tamis-LeMonda, C. S., Gilmore, R. O., & Adolph, K. E. (2021). (Hyper)active data curation: A video case study from behavioral science. Journal of Escience Librarianship, 10(3). https://doi.org/10.7191/jeslib.2021.1208