Future Forum Interoperability & Technology
Deliverable: This project will deliver a paper that proposes the use of ODM-based data exchange standards for regulatory submissions.
Widespread support exists for modernizing the data transport format for the standardized submissions of clinical research data as part of an application to a regulatory authority. Despite the known limitations of the outdated SAS® Version 5 Transport (SAS V5 XPORT) format, it remains the current standard transport format for regulatory submission datasets. Its limitations are impacting the CDISC standards data representations as well as the technologies available to support data exchange. The Operational Data Model (ODM) standard has been the CDISC standard format for data exchange since 2000. Define-XML and Dataset-XML are ODM extensions supporting the transport of CDISC dataset metadata and data, respectively. Define-XML is now a required part of a regulatory submission. However, despite using Define-XML to submit dataset metadata, other data and metadata required for submissions are submitted in different file formats that adversely restrict data representation, machine-readability options, and the ability to validate submissions. This paper describes how the use of the existing ODM standards could simplify and modernize data exchange in support of regulatory submissions, as well as improving data exchange practices in other areas of clinical research.
The ODM standard is mature and widely implemented by many existing technology solutions which reduces implemetation barriers for ODM-based submissions. Furthermore, use of the current ODM version would provide a migration path towards ODM version 2 and a future that takes advantage of modern APIs for data exchange rather than replying on file-based exchange processes. In addition to pPauroviding a standardized API, ODMv2 includes support for other modern transport formats such as JSON, improves alignment with FHIR for EHR integration, extends access to additional machine readable metadata such as study designs, and improves the ability to semantically annotate content.
|Paul Vervuren||Project Lead||Nutricia Researchfirstname.lastname@example.org|
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