• The reproducibility crisis in science
• Databrary.org
• Questions to discuss

• 100%
• 90%
• 70%
• 50%
• 30%

• Yes, a significant crisis
• Yes, a slight crisis
• No crisis
• Don’t know

“yield more robust and reliable findings that others can readily build upon”

(SRCD, 2019)

“essential for the conduct of research and its application to practice and policy”

(SRCD, 2019)

• Breaches of privacy
• Breaches of confidentiality
• How are data collected?
• How are data stored and shared?

• Faces & voices
• Names, personal locations
• Behaviors

as data…

• Spatially & temporally dense samples of behavior
• “Outputs” of biological processes

(Adolph, K.E., Gilmore, R.O., & Kennedy, J.L., 2017)

and as documentation…

• How procedures are actually done
• Computer-based task displays

(Gilmore & Adolph, 2017)

• World’s only data library specialized for storing and sharing video and audio
• Hosted at New York University
• Opened 2014
• 563 institutions; 1665 researchers; 53,222 hours of video + other data; 523 shared projects

• Data shared only with participant permission (& IRB approval)
• Template language, scripts and procedure documentation

• Researchers require institutional authorization
• Formal access agreement
• Site-wide access, not dataset-specific
• Data use and contribution

• Restricted data sharing has long track-record
• Meaningful sharing permission; clarifies nature of risk
• Empowers participants
• Researchers & institutions determine what to share & when

• Open, but not public, sharing
• Researchers, Institutions need not reinvent wheels
• More discoverable than personal websites or institutional repositories
• More secure than public data and materials services or journal web pages

• Consistent curation makes reuse easier
• Works for data beyond video
• Secure data interaction via API

databraryapi::get_db_stats()

##                  date investigators affiliates institutions
## 1 2020-04-15 13:18:04          1122        543          563
##   datasets_total datasets_shared n_files    hours       TB
## 1           1076             523  119570 53222.37 25.10662

https://github.com/PLAY-behaviorome/databraryapi

• Updated policy framework
• Rewriting in Node.js, Hasura/GraphQL, Vue.js/Quasar

This talk was produced on 2020-04-15 in RStudio using R Markdown. The code and materials used to generate the slides may be found at https://github.com/gilmore-lab/2020-04-15-data-studies-group. Information about the R Session that produced the code is as follows:

## R version 3.6.2 (2019-12-12)
## Platform: x86_64-apple-darwin15.6.0 (64-bit)
## Running under: macOS Mojave 10.14.6
## 
## Matrix products: default
## BLAS:   /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
## LAPACK: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib
## 
## locale:
## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets 
## [6] methods   base     
## 
## loaded via a namespace (and not attached):
##  [1] Rcpp_1.0.4         digest_0.6.25     
##  [3] R6_2.4.1           jsonlite_1.6.1    
##  [5] magrittr_1.5       evaluate_0.14     
##  [7] highr_0.8          httr_1.4.1        
##  [9] rlang_0.4.5        stringi_1.4.6     
## [11] curl_4.3           databraryapi_0.1.9
## [13] rmarkdown_2.1      tools_3.6.2       
## [15] stringr_1.4.0      xfun_0.12         
## [17] yaml_2.2.1         compiler_3.6.2    
## [19] htmltools_0.4.0    knitr_1.28