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MichaelRimler committed Dec 4, 2023
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3 changes: 1 addition & 2 deletions _quarto.yml
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#subtitle: "Data Visualisation & Open Source Technology Working Group"
edition: "DRAFT"
author: "PHUSE"
curator: "Michael Rimler"
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."
date: today
date-format: long
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logo: assets/phuse.png
chapters:
- index.qmd
- intro.qmd
#- intro.qmd
- summary.qmd
- why.qmd
- trust.qmd
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# Preface {.unnumbered}

## DRAFT (December 2023)
## DRAFT

The information contained in this [Quarto](https://quarto.org/){target="_blank"} book we aim to comprehensively address the most important questions related to deploying open source solutions for clinical data analytics in the pharmaceutical and vaccine development industry.
The information contained in this [Quarto](https://quarto.org/){target="_blank"} 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***]{.underline} answered?
- What questions have been asked and [***nearly***]{.underline} answered?
- What questions have been asked and [***not yet***]{.underline} answered?

We are developing this manuscript in the open and accepting contributions by the community via our GitHub repository's [Discussions](https://github.com/phuse-org/OSTCDA/discussions){target="_blank"} 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***]{.underline} it as a reference.

To learn more about this initiative, please watch our **\[2023 R in Pharma\]**(https://rinpharma.com/){target="\_blank"} lightning talk [The State of Open Source Technology in Clinical Data Analysis, Reporting, and Submissions](https://www.youtube.com/watch?v=cbFzcXMOfTM){target="_blank"}.
### Learn more

To learn more about this initiative, please watch our **\[2023 R in Pharma\]**(https://rinpharma.com/){target="\_blank"} lightning talk: [The State of Open Source Technology in Clinical Data Analysis, Reporting, and Submissions](https://www.youtube.com/watch?v=cbFzcXMOfTM){target="_blank"}.

### Thank you

Thank you to [PHUSE](https://phuse.global/){target="_blank"} for supporting this endeavor. And thank you to ***YOU*** for your thoughtful contributions to the effort.

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