Open Source Technology in Clinical Data Analysis

Author

PHUSE

Published

November 6, 2024

Abstract
A significant amount of time and energy has been invested in recent years exploring the desirability (do we want it?), feasibility (can we do it?), and viability (is it worth it?) of integrating open source solutions into our clinical data pipelines which transform source data into clinical study reports and submission data packages. When this manuscsript is complete, we hope to put to rest some of the burning questions that we believe we now know the answers to. This will allow industry, and all the passionate people in it, to look ahead and start tackling the next horizon of challenges related to using open source solutions for clinical data pipelines. We hope you will contribute your expertise to this effort.

Preface

DRAFT

The information contained in this Quarto book aims to comprehensively address the most important questions related to deploying open source solutions for clinical data analytics in the pharmaceutical and vaccine development industry.

  • What questions have been asked and already answered?
  • What questions have been asked and nearly answered?
  • What questions have been asked and not yet answered?

We are developing this manuscript in the open and accepting contributions by the community via our GitHub repository’s Discussions tab. Please contribute your thoughts, perspectives, references, citations, and links through that mechanism. We’d like to be able to attribute your ideas to you, so providing the rationale supporting your thoughts will strengthen your argument. Please be as thoughtful and thorough in your contributions as you can! You can also upvote questions and/or responses that you find particularly valuable.

DO NOT CITE

At the moment, this document is in draft form, hence please DO NOT CITE it as a reference.

LEARN MORE

To learn more about this initiative, please watch our 2023 R in Pharma lightning talk:
The State of Open Source Technology in Clinical Data Analysis, Reporting, and Submissions.

How to Contribute

Contribute to the discussion here in GitHub Discussions:
https://github.com/phuse-org/OSTCDA/discussions/

Guidance

  • Provide your thoughts and perspectives
  • Provide references to articles, webinars, presentations (citations, links)
  • Be respectful in this community

Thank you

Thank you to PHUSE for supporting this endeavor. And thank you to YOU for your thoughtful contributions to the effort.