7. Supervision of Connected Speech Data
Procedures
Connected Speech Mastersheets
Maintain and periodically review the Connected Speech Data Quality smartsheets, which contain all updated data of all the connected speech procedures:
These sheets provide an overview of the full Connected Speech workflow, from raw data to analysis-ready output.
Supervisors ensure that there is no missing data, filling it out and sending reminders if necessary to the different teams to fill out all necessary information.
Recommendation: create filter per participant to check and fill out missing information
R Dashboards and Data Visualization
The Connected Speech Dashboard in R provides a real-time visualization of data completeness and progress using the data of the Spanish Connected Speech Data Analysis and Catalan Connected Speech Data Analysis.
Track project metrics such as: sample size for a specific study, available visit pairs (e.g., Pre–Follow-up, Pre–Post) and days between visits (for sanity checks) and for longitudinal studies.
Supervisors use these dashboards to monitor trends, confirm data coverage, and identify outliers or missing entries.
When those errors are detected please refer to the REDCap reports and MADR participant smartsheet to check data and correct it in the MADR paticipant smartheet. If there’s clarification needed from clinicians or data entry please adress it in the R01_CS_Data_Processing teams channel tagging the clinicians.
R project dashboard: https://utexas.box.com/s/96jez19c5hdh2w2rpov4w7addvt95pw1
REDCap Data Monitoring
Use predefined REDCap reports to track Connected Speech data status and ensure synchronization with SmartSheets. These reports should be reviewed to identify:
Missing or incomplete Connected Speech data.
Inconsistent visit dates or timepoints.
Core reports include:
BACC
DellMed - Still pending to create
SmartSheet Data Monitoring
Use the MADR Participant SmartSheet as the master tracking sheet with respect to decisions about participant inclusion in connected speech smartsheets.
Clinicians update the sheet after each visit or follow-up to indicate:
Participant status (timepoints completed, pending, withdrawn, DNQ (Do Not Qualify), Corrections in timepoints or visit labels
Supervisors cross-reference this SmartSheet to ensure all data is reflected consistently across systems.
Check here participant naming convention: https://cloud.wikis.utexas.edu/wiki/x/IrXhB
Quality Control and Review - Connected Speech Supervisor
Weekly: Review REDCap reports and SmartSheets for missing or inconsistent data.
Monthly: Audit R dashboard summaries and confirm data integrity across projects.
Quarterly (or before the start of each cohort): checking the progress of the different processes, use smartsheets reports to visualize progress (clipping, whisper, transcription, reliability)
Procedure When a Connected Speech Sample Is Missing or Data Are Inconsistent
Checking Available Data
Verify expected timepoints using the MADR participant smartsheet and:
assessment timeline (in Participants folder)
REDCap (Connected Speech instrument).
Check Connected Speech Smartsheets for existing rows and confirm that each row corresponds to an actual recording. (! if there’s no audio or video or transcription available we will not have a row in the connected speech smartsheet)
Check in Box for the participants video/audio:
the Connected Speech Data Raw folder
the ALL IP SESSIONS folder (this is a backup folder for all the files, all the clinicians upload the audios-videos here and then they copy them to Connected Speech Data Raw)
the participant’s Box folder
Identify any mismatches (row without file, file without row, wrong date, etc.).
Correct the mismatches: Copying Files if They Exist
If the recording exists but is misplaced or mislabeled, copy it to the correct timepoint folder and rename using CS conventions.
If a file exists but there is no Smartsheet row, add the row.
If the Smartsheet row exists but the file does not, delete the row.
Adding Notes and Documenting Inconsistencies
In Smartsheet: Add comments explaining added/removed rows or missing recordings.
In REDCap: Add a note in the Connected Speech instrument indicating missing or inconsistent data.
In Box: Ensure final folder structure and naming reflect the corrected timepoint status.
Data Analysis Tasks
For assigning tasks we use student supervisor chat.
Recurrent tasks:
Create new filters for new participants to help visualize them in smartsheet report, eg.
Assigned Tasks:
Future RA Tasks (not assigned yet):
High priority:
Mid priority:
Low priority:
Completed Tasks