Creating a define.xml file for SDTM: A Step-by-Step Guide
- Familiarize yourself with CDISC standards: Before starting, ensure that you have a good understanding of the SDTM and ADaM (Analysis Data Model) standards, as well as the CDISC Controlled Terminology.
- Gather necessary documentation: Collect all relevant documentation for your clinical trial, such as the protocol, case report forms (CRFs), and annotated CRFs.
- Identify the SDTM domains: Identify the SDTM domains relevant to your study, such as demographics (DM), adverse events (AE), concomitant medications (CM), and others.
- Create dataset specifications: For each SDTM domain, create dataset specifications that include the variable name, label, type, length, and controlled terminology (if applicable).
- Obtain or create an ODM (Operational Data Model) file: An ODM file is an XML file that describes the metadata for your clinical trial. You can either export this file from your EDC (Electronic Data Capture) system or create it using an XML editor.
- Generate the define.xml file: Use a software tool or a programming language like SAS, R, or Python to generate the define.xml file based on the dataset specifications and ODM file. Popular tools for generating define.xml files include Pinnacle 21, SAS Clinical Standards Toolkit, and OpenCDISC Validator.
- Validate the define.xml file: After generating the define.xml file, validate it using a validation tool like Pinnacle 21 or OpenCDISC Validator to ensure it conforms to the CDISC standards.
- Review and finalize the define.xml file: Review the define.xml file and address any issues or discrepancies identified during the validation process. Make sure that the file accurately reflects the structure, content, and formatting of your datasets.
- Include the define.xml file in your submission package: Once the define.xml file is finalized, include it in your submission package, along with the SDTM and ADaM datasets, the annotated CRFs, and any other required documentation.
Remember that creating a define.xml file for SDTM is a complex process that requires a solid understanding of CDISC standards and clinical trial data management. It’s always a good idea to involve a data manager or a biostatistician with experience in this area to ensure compliance with regulatory requirements.