diff --git a/Open-Source-Technology-in-Clinical-Data-Analysis.docx b/Open-Source-Technology-in-Clinical-Data-Analysis.docx index db02c04..e89ad8d 100644 Binary files a/Open-Source-Technology-in-Clinical-Data-Analysis.docx and b/Open-Source-Technology-in-Clinical-Data-Analysis.docx differ diff --git a/Open-Source-Technology-in-Clinical-Data-Analysis.pdf b/Open-Source-Technology-in-Clinical-Data-Analysis.pdf index 16077fb..6b3c3ff 100644 Binary files a/Open-Source-Technology-in-Clinical-Data-Analysis.pdf and b/Open-Source-Technology-in-Clinical-Data-Analysis.pdf differ diff --git a/index.html b/index.html index 10fa8ea..99de02f 100644 --- a/index.html +++ b/index.html @@ -265,13 +265,11 @@

Table of contents

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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.

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.

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Do not cite

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DO NOT CITE

At the moment, this document is in draft form, hence please DO NOT CITE it as a reference.

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Learn more

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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.

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Thank you

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How to Contribute

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Contribute to the discussion here in GitHub Discussions:
+What is open source?

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Guidance

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

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

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And thank you to YOU for your thoughtful contributions to the effort." + "text": "DRAFT\nThe 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.\n\nWhat questions have been asked and [already answered]?\nWhat questions have been asked and [nearly answered]?\nWhat questions have been asked and [not yet answered]?\n\nWe 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.\n\nDO NOT CITE\nAt the moment, this document is in draft form, hence please DO NOT CITE it as a reference.\n\n\nLEARN MORE\nTo 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." }, { - "objectID": "summary.html", - "href": "summary.html", + "objectID": "index.html#how-to-contribute", + "href": "index.html#how-to-contribute", + "title": "Open Source Technology in Clinical Data Analysis", + "section": "How to Contribute", + "text": "How to Contribute\nContribute to the discussion here in GitHub Discussions:\nWhat is open source?" + }, + { + "objectID": "index.html#guidance", + "href": "index.html#guidance", + "title": "Open Source Technology in Clinical Data Analysis", + "section": "Guidance", + "text": "Guidance\n\nProvide your thoughts and perspectives\nProvide references to articles, webinars, presentations (citations, links)\nBe respectful in this community" + }, + { + "objectID": "index.html#thank-you", + "href": "index.html#thank-you", + "title": "Open Source Technology in Clinical Data Analysis", + "section": "Thank you", + "text": "Thank you\nThank you to PHUSE for supporting this endeavor. 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Table of contents

@@ -291,8 +289,8 @@

1  -

2 What is Open Source?

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1.1 What is Open Source?

When someone says ‘open source’ - what does that mean to you?
What are the important characteristics of something that is regarded as ‘open source’?

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    2 What is Open So
  • Does the ability to reuse the code matter?
  • Does the ability to modify the code matter?
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2.1 How to Contribute

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1.2 How to Contribute

Contribute to the discussion here in GitHub Discussions:
What is open source?

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2.2 Guidance

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1.3 Guidance

  • Provide your thoughts and perspectives

  • Provide references to articles, webinars, presentations (citations, links)

  • Be respectful in this community

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2.3 Examples

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1.4 Examples

Example 1: The Open Source Initiative provides a definition:

  • Free distribution

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    Merriam-Webster defines open source as “having the source code freely available for possible modification and redistribution”.

    -