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Imaging Data Anonymization Guideline |
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The Anonymization of Imaging Data project within the Data Transparency Working Group have published a new white paper: Imaging Data Anonymization Guideline which is now open for public review. The purpose of this guideline is to define the minimum anonymization standards for DICOM imaging data shared externally via a secure, governed research environment (SGRE). This document aims to ensure that all shared clinical trial imaging data complies with privacy regulations and ethical standards, thereby protecting the identities of clinical trial participants. It is intended for people involved in data processing, anonymization, and external collaborations, as well as for external researchers who will access these anonymized data. The team welcome feedback on the paper from 6 January – 3 February. Please send responses to workinggroups@phuse.global |
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The Value of Plain Language Summaries of Trial Results (PLSs) project team within the Data Transparency Working Group, is calling for volunteers!
This project has been initiated because whilst the industry has put significant efforts into developing and disseminating plain language summaries of trial results (PLSs) to promote transparency and engagement, there remains a gap in quantitative evidence of how these documents are used and what value they bring to the trial participants and the general public. Gathering feedback from trial participants – the primary audience for PLSs – and other readers will provide meaningful insights into their value and inform improvements.
The team will be creating a survey to evaluate the value of PLSs and the survey feedback will be shared as a white paper authored by the group.
If you’d like to become a valued project member, please get in touch with workinggroups@phuse.global by 19 January 2026 ahead of the kick off meeting scheduled for Tuesday 20 January 08:00 EST / 13:00 GMT / 14:00 CET.
PharmaForest: A collaborative repository of SAS packages for pharmaceutical industry (PLSs) project team within the Data Visualisation & Open Source Technology Working Group, is calling for volunteers! PharmaForest is a collaborative initiative focused on improving how SAS programming is developed and shared across the pharmaceutical industry. Built on the SAS Packages Framework (SPF), it promotes reusable, standardised SAS packages to reduce duplication, improve efficiency, and support compliance. By combining an open package repository with community collaboration and practical guidance, PharmaForest helps move SAS programming from siloed approaches to a more scalable, industry-wide model. If you’d like to become a valued project member, please get in touch with workinggroups@phuse.global |
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