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Bridge2AI Voice Logo

bridge2ai-redcap

REDCap Data Dictionary and Metadata for the Bridge2AI project.

GitHub License: MIT DOI

Version Date YYYY-mm-dd Data Dictionary Metadata PDF's (English) PDF's (Spanish)
v4.1.0 2025-09-17 Data Dictionary Metadata Files Files

🀝 License

See LICENSE

πŸ“š How to Cite

Bensoussan, Y., Ghosh, S. S., Rameau, A., Boyer, M., Bahr, R., Watts, S., Rudzicz, F., Bolser, D., Lerner-Ellis, J., Awan, S., Powell, M. E., Belisle-Pipon, J.-C., Ravitsky, V., Johnson, A., Zisimopoulos, P., Tang, J., Sigaras, A., Elemento, O., Dorr, D., … Bridge2AI-Voice. (2024). eipm/bridge2ai-redcap. Zenodo. https://zenodo.org/doi/10.5281/zenodo.12760724

Acknowledgements

This study was supported in part by the Weill Cornell Medicine Clinical and Translational Science Center (CTSC) grant (UL1 TR 002384).

Study data were collected and managed using REDCap electronic data capture tools hosted at Weill Cornell Medicine.1,2,3 REDCap (Research Electronic Data Capture) is a secure, web-based software platform designed to support data capture for research studies, providing 1) an intuitive interface for validated data capture; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for data integration and interoperability with external sources.

Citations

1PA Harris, R Taylor, R Thielke, J Payne, N Gonzalez, JG. Conde, Research electronic data capture (REDCap) – A metadata-driven methodology and workflow process for providing translational research informatics support, J Biomed Inform. 2009 Apr;42(2):377-81.

2PA Harris, R Taylor, BL Minor, V Elliott, M Fernandez, L O’Neal, L McLeod, G Delacqua, F Delacqua, J Kirby, SN Duda, REDCap Consortium, The REDCap consortium: Building an international community of software partners, J Biomed Inform. 2019 May 9 [doi: 10.1016/j.jbi.2019.103208]

3Lawrence CE, Dunkel L, McEver M, Israel T, Taylor R, Chiriboga G, Goins KV, Rahn EJ, Mudano AS, Roberson ED, Chambless C, Wadley VG, Danila MI, Fischer MA, Joosten Y, Saag KG, Allison JJ, Lemon SC, Harris PA, "A REDCap-based model for electronic consent (eConsent): Moving toward a more personalized consent", J Clin Transl Sci. 2020 Apr 3;4(4):345-353. https://doi.org/10.1017/cts.2020.30

Table of Contents

eConsent Forms

# Site Language English PDF Spanish PDF
1 USF English Bridge2AI eConsent - USF - English Bridge2AI eConsent - USF - Spanish
2 MIT English Bridge2AI eConsent - MIT - English NA

Adult Protocols

# πŸ““ Protocol Name Clinical Diagnoses πŸ“• # of Questionnaires 🎀 # of Acoustic Tasks πŸ”Š # of Recordings ⏳ Estimated time to complete (mm:ss)
1 Generic Protocol (Controls) 6 10 41 38:45
2 Voice Disorders Protocol 6 12 47 42:25
3 Mood and Psychiatric Disorders Protocol 10 10 41 46:00
4 Respiratory Disorders Protocol 8 10 41 42:05
5 Neurological and Neurodegenerative Disorders Protocol 6 13 44 45:30

Pediatric Protocols

# πŸ““ Protocol Name Clinical Diagnoses πŸ“• # of Questionnaires 🎀 # of Acoustic Tasks πŸ”Š # of Recordings ⏳ Estimated time to complete (mm:ss)
1 Pediatric Disorders - Ages [2-4) Protocol 5 4 51 NA
2 Pediatric Disorders - Ages [4-6) Protocol 5 7 63 NA
3 Pediatric Disorders - Ages [6-10) Protocol 5 8 76 NA
4 Pediatric Disorders - Ages 10+ Protocol 5 8 67 NA

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