Call for Project Volunteers & New Project Suggestions

The PhUSE Collaboration is accepting proposals for new projects. A proposal will address problems of significant relevance to computational science related to drug, biologic and device development and must meet all of the guidelines for projects within the collaboration, including the following mandatory requirements: 

  • The projects must address significant research issues relevant to computational science
  • The project must not attempt to address FDA policy issues
  • There must be at one Project Lead personally involved in planning and carrying out the project.

New Projects can be submitted anytime during the year.

Projects of Particular Interest to the the Collaboration include:

  • List and prioritization of issues in drug, biologic and device development related to computational science
  • Identification of possible projects based on pressing issues in drug, biologic and device development related to computational science
  • Identification, prioritization and potential pilots of emerging tools and technologies
  • Projects that fall within the scope of existing defined working groups

Application Process

Complete a New Project Request

Completed forms should be sent as an email attachment to

Working Group & Project Lead

Project Title


Nonclinical Topics

Thomas Gade Bjerregaard

Drashtii Vasant

Understanding SEND as RDF Linked Data for Potential Nonclinical Use  


SEND has been identified to be implemented with substantial variability, and need for harmonisation is being pitched from regulators and sponsors to improve the use cases for data consumption (warehousing and/or a more standardised approach to analysis). The ultimate scope is to determine if RDF/linked data can play a role in that process. However the primary scope for the present project description to bring together deep knowledge of SEND and RDF/linked data and broaden the base of people in the SEND community with understanding the concept of RDF/linked data to facilitate a qualified discussion.

This project recently presented at a PhUSE Webinar Wednesday, click here to find the presentation.

Standard Analyses and Code Sharing

Best Practices for Quality Control and Validation  


Quality and accuracy is essential in the health and life sciences industries. Patients and regulators must be able to trust analyses of clinical data. This project aims to produce a paper that will provide an in-depth review of best practices for robust quality control. The scope of the paper will be quality control of analysis programming of clinical data in health and life sciences organisations. It is applicable to the organisations who produce analyses of clinical data, including Contract Research Organisations. The paper will not discuss oversight of outsourced programming. 


This project recently presented at a PhUSE Webinar Wednesday, click here to find the presentation. 

Standard Analyses and Code Sharing


GPP in Macro Development


Macros provide an effective way to automate and reuse code in a standard and consistent manner across SAS programs. This ability to reuse code means that the use of GPP is particularly important in macro code and we think that there is a need to deliver a consensus and comment good programming practices specifically for macro programming.

To create a guideline / White Paper for creating well structured and precisely document macro code that will be easy to read and maintain over time. The proposed White Paper will primarily describe:

  • Coding Style of Macro
  • Best Practices while writing Macro
  • Structured documentation of Macro
  • Optimisation and saving compiling time while using Macro
  • Refactoring in Macro

This project recently presented at a PhUSE Webinar Wednesday, click here to find the presentation.

Want to Co-Lead a project? Great ideas waiting for Leaders

While working groups and projects continue to collaborate, new innovative ideas are generated by different teams. Unfortunately, the collaboration doesn't currently have individuals able to volunteer in a Co-Lead role to move these ideas forward. Below is a list of potential projects, the associated Working Group and a description of each. If one of these ideas interests you and you are able to volunteer to Lead, please contact

Project Ideas

Working Group











Do you have feedback to share? Got an idea? Want to comment on a project?

All comments and feedback welcome. Please contact

Current CS Working Groups

For information on current CS Working Groups, please visit the PhUSE Wiki page.

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 8,000 clinical data scientists. It requires a large pool of resources to help with its running so offers 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 newsletter, we are always keen to hear from volunteers.

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