NEW: Want a detailed overview of Working Groups and Projects? Want to know how the PhUSE Office supports our projects? Tips on how to use Teamwork and the Wiki? Then take a look at this Welcome Pack. It captures useful information for project start-up, the onboarding of new project members, as well as hints and tips for established projects.

Data Transparency Educating for the Future Emerging Trends & Technologies Nonclinical Topics Optimizing the Use of Data Standards Standard Analyses & Code Sharing
Clinical Trials Data Transparency Toolkit Data Engineering Blockchain Technology Data Consistency: SEND Datasets and the Study Report Best Practices for Data Collection Instructions Analyses & Displays White Papers
Data De-identification Toolkit Data Science Cloud Adoption in the Life Science Industry Data Visualisation as an Enabler for Nonclinical Safety Detection CDISC Implementation Primer Best Practices for Quality Control & Validation
De-identification Standards Design Thinking Data Visualisation for Clinical Data Demystifying Define-XML Codelists for Nonclinical Studies Clinical Legacy Data Conversion Plan & Reporting Code Sharing (Repository)
EMEA Policy 0070 Interpretations   Going Translational with Linked Data Industry SEND Progress Survey Data Reviewer's Guide in XML Communications, Promotion, Education
GDPR Impact on Data Collection Practices   Investigating the Use of FHIR in Clinical Research Modeling Endpoints: How to Model Anti-Drug Antibody Data in Nonclinical Studies Data Standards for Non-Interventional Studies GPP in Macro Development
Policy, Guidance & Materials Reviews   Key Performance Indicators  Nonclinical Script Assessment  Industry Experiences Submitting Study Data to Regulatory Authorities Test Data Factory
    Machine Learning & Artificial Intelligence Nonclinical Study Data Reviewer's Guide SDTM ADaM Implementation FAQ  
      SEND Implementation User Group    

 

 

 

Thinking of joining PhUSE?

Already a member but not sure how you can benefit?

PhUSE is an expanding, global society with a membership of more than 9,000 clinical data scientists. It requires a large pool of resources to help with its running, and so there are many opportunities for members to become involved. Whether it's chairing a conference, presenting at an event, leading a working group or contributing to the quarterly online newsletter, we are always keen to hear from volunteers.

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