From 855518352382f17b8c9cf15e52418ff3551c848b Mon Sep 17 00:00:00 2001 From: Eric Scott Date: Thu, 15 Aug 2024 12:48:40 -0700 Subject: [PATCH] update link to coc --- _freeze/index/execute-results/html.json | 4 ++-- index.qmd | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/_freeze/index/execute-results/html.json b/_freeze/index/execute-results/html.json index 2c9908b..7d2db36 100644 --- a/_freeze/index/execute-results/html.json +++ b/_freeze/index/execute-results/html.json @@ -1,8 +1,8 @@ { - "hash": "1f10a050ab5ca86ff3c0e88ade1db3ba", + "hash": "2a54f050bac78edf8671e26d31a7a512", "result": { "engine": "knitr", - "markdown": "---\ntitle: Reproducibility and Data Science in R\nsubtitle: \"Fall 2024\"\nformat: html\ncitation:\n title: Syllabus\n---\n\n\nWelcome to the syllabus for the CCT Data Science fall workshop series: **Reproducibility and Data Science in R.** If you didn't register for the course this year, sign up for our [mailing list](https://datascience.cct.arizona.edu/contact) to be notified when enrollment opens for next year's iteration and to be notified of our other monthly workshops.\n\n## Schedule (tentative)\n\nWe'll meet on Tuesdays and Thursdays from 11am to 1pm via Zoom (link)\n\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n \n\n\n\n\n \n\n\n\n\n \n\n\n\n\n \n\n\n\n\n \n\n\n\n\n \n\n\n\n\n \n\n\n\n\n \n\n\n\n\n \n\n\n\n\n \n\n\n\n\n \n\n\n\n\n \n \n \n
LessonDateThemeTopicLinks
1Tue, 9/3Manage & OrganizeProject managment and documentation
\n
2Thu, 9/5Document & PublishLiterate programming with Quarto
3Tue, 9/10Share & CollaborateFile systems and command line
\n
4Thu, 9/12Share & CollaborateVersion control with git
\n
5Tue, 9/17Share & CollaborateDeveloping code on GitHub
\n
6Thu, 9/19Share & CollaborateCollaborating with GitHub
\n
7Tue, 9/24Tidy & WrangleData manipulation & coding best practices
\n
8Thu, 9/26Repeat & ReproduceIntermediate R programming I
\n
9Tue, 10/1Repeat & ReproduceIntermediate R programming II
\n
10Thu, 10/3Document & PublishGetting credit for your hard work
\n
11Tue, 10/8ReviewDrop-in co-working—
12Thu, 10/10Reproducibility ColloquiumAn opportunity for you to show off what you've learned—
\n
\n```\n\n:::\n:::\n\n\n## Code of Conduct\n\n> Our group's mission is to enable scientists.\n> This means treating people with respect and responding in a polite and helpful way.\n>\n> Our group is committed to ensuring a harassment-free experience for everyone, regardless of level of experience, gender, gender identity and expression, sexual orientation, disability, personal appearance, body size, race, ethnicity, age, or religion.\n>\n> Examples of unacceptable behavior by members, collaborators, and contributors include the use of sexual language or imagery, derogatory comments or personal attacks, trolling, public or private harassment, insults, or other unprofessional conduct.\n\nRead our full [code of conduct](https://osf.io/tzmhp/wiki/Code%20of%20Conduct/) and please report any violations or concerns to the course instructors or to Kristina Riemer ([kristinariemer\\@arizona.edu](mailto:kristinariemer@arizona.edu)).\n\n## Helpful Reads\n\nThis workshop series doesn't have anything like \"required reading\", but we think these books and websites are good companions.\n\nData analysis in R:\n\n- [R for Data Science (2e)](https://r4ds.hadley.nz/)\n- [Building reproducible analytical pipelines with R](https://raps-with-r.dev/) \n\nBest practices for reproducibility:\n\n- [Good enough practices in scientific computing](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005510)\n- [Data organization in spreadsheets](https://doi.org/10.1080/00031305.2017.1375989)\n- [A beginner's guide to conducting reproducible research](https://doi.org/10.1002/bes2.1801)\n- [The Turing Way: Guide for Reproducible Research](https://the-turing-way.netlify.app/reproducible-research/reproducible-research)\n- [6 Steps Toward Reproducible Research](https://zenodo.org/records/12744715)\n\nVersion control:\n\n- [Excuse me, do you have a moment to talk about version control?](https://doi.org/10.7287/peerj.preprints.3159v2)\n- [Happy Git and GitHub for the useR](https://happygitwithr.com/)\n", + "markdown": "---\ntitle: Reproducibility and Data Science in R\nsubtitle: \"Fall 2024\"\nformat: html\ncitation:\n title: Syllabus\n---\n\n\nWelcome to the syllabus for the CCT Data Science fall workshop series: **Reproducibility and Data Science in R.** If you didn't register for the course this year, sign up for our [mailing list](https://datascience.cct.arizona.edu/contact) to be notified when enrollment opens for next year's iteration and to be notified of our other monthly workshops.\n\n## Schedule (tentative)\n\nWe'll meet on Tuesdays and Thursdays from 11am to 1pm via Zoom (link)\n\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n\n```{=html}\n
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n \n\n\n\n\n \n\n\n\n\n \n\n\n\n\n \n\n\n\n\n \n\n\n\n\n \n\n\n\n\n \n\n\n\n\n \n\n\n\n\n \n\n\n\n\n \n\n\n\n\n \n\n\n\n\n \n \n \n
LessonDateThemeTopicLinks
1Tue, 9/3Manage & OrganizeProject managment and documentation
\n
2Thu, 9/5Document & PublishLiterate programming with Quarto
3Tue, 9/10Share & CollaborateFile systems and command line
\n
4Thu, 9/12Share & CollaborateVersion control with git
\n
5Tue, 9/17Share & CollaborateDeveloping code on GitHub
\n
6Thu, 9/19Share & CollaborateCollaborating with GitHub
\n
7Tue, 9/24Tidy & WrangleData manipulation & coding best practices
\n
8Thu, 9/26Repeat & ReproduceIntermediate R programming I
\n
9Tue, 10/1Repeat & ReproduceIntermediate R programming II
\n
10Thu, 10/3Document & PublishGetting credit for your hard work
\n
11Tue, 10/8ReviewDrop-in co-working—
12Thu, 10/10Reproducibility ColloquiumAn opportunity for you to show off what you've learned—
\n
\n```\n\n:::\n:::\n\n\n## Code of Conduct\n\n> Our group's mission is to enable scientists.\n> This means treating people with respect and responding in a polite and helpful way.\n>\n> Our group is committed to ensuring a harassment-free experience for everyone, regardless of level of experience, gender, gender identity and expression, sexual orientation, disability, personal appearance, body size, race, ethnicity, age, or religion.\n>\n> Examples of unacceptable behavior by members, collaborators, and contributors include the use of sexual language or imagery, derogatory comments or personal attacks, trolling, public or private harassment, insults, or other unprofessional conduct.\n\nRead our full [code of conduct](https://cct-datascience.github.io/group-procedures/code-of-conduct.html) and please report any violations or concerns to the course instructors or to Kristina Riemer ([kristinariemer\\@arizona.edu](mailto:kristinariemer@arizona.edu)).\n\n## Helpful Reads\n\nThis workshop series doesn't have anything like \"required reading\", but we think these books and websites are good companions.\n\nData analysis in R:\n\n- [R for Data Science (2e)](https://r4ds.hadley.nz/)\n- [Building reproducible analytical pipelines with R](https://raps-with-r.dev/) \n\nBest practices for reproducibility:\n\n- [Good enough practices in scientific computing](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005510)\n- [Data organization in spreadsheets](https://doi.org/10.1080/00031305.2017.1375989)\n- [A beginner's guide to conducting reproducible research](https://doi.org/10.1002/bes2.1801)\n- [The Turing Way: Guide for Reproducible Research](https://the-turing-way.netlify.app/reproducible-research/reproducible-research)\n- [6 Steps Toward Reproducible Research](https://zenodo.org/records/12744715)\n\nVersion control:\n\n- [Excuse me, do you have a moment to talk about version control?](https://doi.org/10.7287/peerj.preprints.3159v2)\n- [Happy Git and GitHub for the useR](https://happygitwithr.com/)\n", "supporting": [], "filters": [ "rmarkdown/pagebreak.lua" diff --git a/index.qmd b/index.qmd index d050571..d732b28 100644 --- a/index.qmd +++ b/index.qmd @@ -49,7 +49,7 @@ read_csv("schedule.csv") |> > > Examples of unacceptable behavior by members, collaborators, and contributors include the use of sexual language or imagery, derogatory comments or personal attacks, trolling, public or private harassment, insults, or other unprofessional conduct. -Read our full [code of conduct](https://osf.io/tzmhp/wiki/Code%20of%20Conduct/) and please report any violations or concerns to the course instructors or to Kristina Riemer ([kristinariemer\@arizona.edu](mailto:kristinariemer@arizona.edu)). +Read our full [code of conduct](https://cct-datascience.github.io/group-procedures/code-of-conduct.html) and please report any violations or concerns to the course instructors or to Kristina Riemer ([kristinariemer\@arizona.edu](mailto:kristinariemer@arizona.edu)). ## Helpful Reads