The Data Tools Module provides local data processing functionality to ensure your medical images meet trial requirements before they’re uploaded. This includes anonymization, validation, and format standardization.
Anonymization
Many clinical trials require patient-identifying information to be removed or masked:
- Select the folder or file you want to anonymize.
- Configure the anonymization fields (e.g., patient ID, patient name).
- Run the process. A summary report will detail what was removed or replaced.
Validation
Each clinical trial can have its own schema or standard:
- Choose the trial you plan to contribute data to.
- Select the data to validate.
- Run validation, and review any errors or warnings. This will help ensure data is accepted by the trial’s repository.
Convert your data into the required format for the trial:
- DICOM or other imaging formats
- Compression or decompression if the trial requests a specific format
- Metadata updates to comply with trial-specific fields
Always validate data after anonymization to ensure the new files meet the trial’s requirements.
