Databrary

Rick O. Gilmore

2018-01-29 09:57:43


Agenda

What is Databrary?

How does it work?

Strengths

Weaknesses

Use cases

The future…

What is Databrary?

databrary.org

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

https://www.databrary.org/resources/guide/investigators/release/release-levels.html

How does it work?

Register for access

Databrary staff get in touch

Institution signs Databrary Access Agreement

Browsing

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

Download

Code & use videos

Strengths & weaknesses

Strengths

Large-scale secure cloud storage

Open sharing with restricted community of researchers

Consistent permission framework

Weaknesses

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

Teaching

Searching for teaching clips

Pre-research

Bertenthal, B.I. (2014). Biological Motions. Databrary. Retrieved January 29, 2018 from http://doi.org/10.17910/B7W884.

Sharing research products beyond publications

Adolph, K., Tamis-LeMonda, C. & Gilmore, R.O. (2016). PLAY Project: Materials. Databrary. Retrieved January 25, 2018 from https://nyu.databrary.org/volume/254.

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 http://doi.org/10.17910/B7988V.

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

rogilmore@psu.edu

gilmore-lab.github.io

github.com/databrary

Datavyu video coding tool, datavyu.org

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 https://github.com/gilmore-lab/2018-01-31-software-in-humanities/. Information about the R Session that produced the slides is as follows:

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