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The Optimizing the Use of Data Standards Working Group has a new project FDA Requests Public Comment on CDISC Dataset-JSON Standard and is calling for volunteers!

The U.S. Food and Drug Administration (FDA) has recently published a Federal Register Notice exploring the potential adoption of CDISC Dataset-JSON v1.1 as a new exchange standard for electronic study data submissions potentially replace the SAS v5 XPORT Transport Format (XPT) in the long term.

The FDA is seeking comments on whether to accept Dataset-JSON for regulatory applications in the future, specifically regarding:

  • The risks and benefits of industry adoption of Dataset-JSON as a new exchange standard.

  • Any integration challenges with existing tools and systems.

PHUSE, given its expertise and commitment to advancing the implementation of data standards within the pharmaceutical industry, and its recent PHUSE/CDISC pilot, is launching a short-term project to collect and synthesize comments from its members on this Federal Register Notice.

Building on the PHUSE/CDISC pilot this is an opportunity to:

  • Influence the future of regulatory data submissions.

  • Share your expertise and perspectives on data standards.

  • Collaborate with fellow PHUSE members on a timely and impactful initiative.

  • Contribute to PHUSE's position on this important topic.

We are seeking volunteers to participate in this project.

The timeline for this project will be relatively short, aligning with the FDA's comment period. We anticipate the main activities to take place during May.

If you are interested in volunteering for this important project and contributing your expertise, please express your interest by completing this Working Group Project Membership Form.

The

Anonymization of Imaging Data project is looking for volunteers to join our ongoing project focusing on anonymization and sharing of images in clinical trials. Our recent literature review has highlighted a gap in existing research, particularly in the context of sharing images and related metadata in parallel to clinical trial data.

We will focus on DICOM images and related metadata in oncology. Our project will take our collective knowledge of clinical trial data and images to create guidance that will inform de-identification decisions in the anonymization process for the images. There will be a comprehensive review of DICOM image tags and relevant packages and methods that are used to process them. We aim to develop best practices for processing identifiers and anonymising images in oncology, ensuring both privacy and usability. 

If you have experience in processing and de-identifying images in clinical trials, particularly with DICOM images in oncology, we want to hear from you.

If you would like to volunteer or learn more about this project, email workinggroups@phuse.global. Closing date: 25 April.

The regular meeting series is currently bi-weekly on Tuesdays 9:00 (EDT) / 16:00 (BST) / 17:00 (CEST)

The QC Workflow Optimisationis a new project within the Emerging Trends & Innovation Working Group, is calling for volunteers.

The clinical study analysis and reporting QC process has not changed in decades. It is widely agreed that there is significant overhead in using double programming, and that this may need to be revisited to accelerate and optimally use programming resources. This process has not been revisited or analysed within a modern context. The purpose of this Working Group project would be to perform this analysis and report findings.

The QC process has significant impact on the adoption of Git in statistical programming, specifically in the complexity in using Git in a way that does not disrupt the QC process. This will also impact on what is perceived as acceptable level of QC for submissions by the industry, including regulators.

If you would like to volunteer or learn more about this project, email workinggroups@phuse.global. Closing date: 29 April 2025.

The Kick-Off Meeting for this project will be held 30 April 2025 9:00 (EDT) / 13:00 (BST) / 14:00 (CEST)

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