Rick O. Gilmore

2018-01-29 09:57:43


What is Databrary?

How does it work?



Use cases

The future…

What is Databrary?

A data library

Specialized for storing, sharing, browsing, and reusing video & audio

Store and share session (person + place + time) metadata

Policy framework for securely sharing identifiable data

Videos are identifiable

Restrict access: To researchers formally authorized by their institutions

Access agreement signed by researcher, institution

Store for research team use; preservation

Share with other researchers only with permission

How does it work?

Register for access

Databrary staff get in touch

Institution signs Databrary Access Agreement


Log on

Search, filter, play

Most teaching & pre-research use cases do not require IRB approval

Sharing data

Upload as-as-you go (“self-curate”)

Give collaborators access

Share when you’re ready (paper goes to press, grant ends)

Secondary (re)use

Get IRB approval

Search, filter


Code & use videos

Strengths & weaknesses


Large-scale secure cloud storage

Open sharing with restricted community of researchers

Consistent permission framework


Doesn’t just “sync”" with cloud storage (e.g. Box, Dropbox, etc.)

Manual entry of metadata

New (~4 years old), only 20% of data are shared; limited scope

Use cases


Searching for teaching clips


Bertenthal, B.I. (2014). Biological Motions. Databrary. Retrieved January 29, 2018 from

Sharing research products beyond publications

Adolph, K., Tamis-LeMonda, C. & Gilmore, R.O. (2016). PLAY Project: Materials. Databrary. Retrieved January 25, 2018 from

Repurposing shared data

Jayaraman, S., Smith, L.B., Raudies, F. & Gilmore, R.O. (2014). Natural Scene Statistics of Visual Experience Across Development and Culture. Databrary. Retrieved January 25, 2018 from

The future

Domains beyond developmental psychology

From data repository to analysis platform

Machine-assisted audio & video analysis

Video as research documentation

Gilmore & Adolph 2017

Thank you

Datavyu video coding tool,

This talk was produced on 2018-01-29 09:57:43 in RStudio 1.1.383 using R Markdown and the reveal.JS framework. The code and materials used to generate the slides may be found at Information about the R Session that produced the slides is as follows:

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