Data Files
To enable the tool’s effective categorisation and visualisation of protocol deviations, data must be prepared using specific spreadsheets. This section provides guidelines for formatting data to ensure it is usable within the tool, allowing for accurate NLP-powered analysis and insight generation. By following these instructions, users can optimise data entry, minimise processing issues, and unlock the tool’s full potential for detecting patterns and recurring issues. Please refer to the steps below on how to format your data accordingly.
Headers
The spreadsheet headers are summarised below.
Variable Name
Variable Label
Comment
SITEID
Study Site Identifier
Mandatory
STUDYID
Study Identifier
Mandatory
DVSPONDES
PD Descriptor Assigned by Sponsor
Mandatory
DVCAT
Category for Protocol Deviation
Non-Mandatory
User can assign manually
If not assigned manually then this field supports mandatory fields as NLP will assign a defined DVCAT using the DVSPONDES
DVDECOD
Protocol Deviation Coded Term
Non-Mandatory
User can assign manually
If not assigned manually then this field supports mandatory fields as NLP will assign a defined DVDECOD using the DVSPONDES
DVTERM
Protocol Deviation Term
Auto-populated
Last updated