From 4eb676163e7995afa7352a14ffaa063b2c332833 Mon Sep 17 00:00:00 2001 From: Erik Fasterius Date: Mon, 23 Oct 2023 15:27:44 +0200 Subject: [PATCH] Update data management lecture to Quarto --- lectures/data-management/data-management.Rmd | 180 -- lectures/data-management/data-management.html | 2588 +++++++++++++++++ lectures/data-management/data-management.pdf | Bin 1474063 -> 0 bytes lectures/data-management/data-management.qmd | 165 ++ lectures/data-management/template.css | 125 - 5 files changed, 2753 insertions(+), 305 deletions(-) delete mode 100644 lectures/data-management/data-management.Rmd create mode 100644 lectures/data-management/data-management.html delete mode 100644 lectures/data-management/data-management.pdf create mode 100644 lectures/data-management/data-management.qmd delete mode 100644 lectures/data-management/template.css diff --git a/lectures/data-management/data-management.Rmd b/lectures/data-management/data-management.Rmd deleted file mode 100644 index 605e83a6..00000000 --- a/lectures/data-management/data-management.Rmd +++ /dev/null @@ -1,180 +0,0 @@ ---- -title: "Managing your data" -subtitle: "Tools for Reproducible Research NBIS course" -output: - xaringan::moon_reader: - self-contained: true - seal: false - css: ["default", "template.css"] - nature: - slideNumberFormat: "" - ---- - -layout: true - - - ---- - -class: center, middle - -*.huge[Managing your data]* - ---- - -# Data (mis)management in practice. - -.smaller[ -| | .green[Data acquisition] | .green[Analysis] | .green[First submission] | .green[Review] | .green[Second submission] | .green[Publication] | -| - | --------------------------- | ------------------- | --------------------------- | ----------------- | ---------------------------- | ---------------------- -| **Raw data** | Data arrives in cumbersome and proprietary format. | Gets converted to format of choice. Original files (and conversion settings) are lost. | | Leads a quiet life on the HPC cluster, until the project expires and the data has to be urgently retrieved. | Ends its days on an external hard drive on the researcher's desk. | "Data available upon request". | -| **Metadata** | In researcher's lab journal. | Hard-coded in various analysis scripts. | Mailed back and forth between collaborators in ever-changing (but nicely colored) Excel sheets. | | Reformatted and included as PDF in the supplementary. | | | -] ---- - -# FAIR data - -Strive to make your data FAIR: - -- .green[**F**indable] -- .green[**A**ccessible] -- .green[**I**nteroperable] -- .green[**R**eusable] - -*for both machines and humans.* - -
-.tiny[Wilkinson, Mark et al. “The FAIR Guiding Principles for scientific data management and stewardship”. -Scientific Data (2016)] - ---- -# Data management plan - -- Check requirements of funding agency and field of research. -- Determine required storage space for short and long term. -- Provide helpful metadata. -- Consider legal/ethical restrictions if working with sensitive data. -- Find suitable data repositories. -- Strive towards uploading data to its final destination already at the beginning of a project. - - VR Data management plan requirements - ---- - -# Data sharing - -.large[*Why Open Access?*] - -+ Publicly funded research should be unrestricted. -+ Published results should be verifiable by others. -+ Enables other to build upon previous work. - ---- - -class: center, middle - -*.huge[Organizing your projects]* - ---- - -Which sample file represents the latest version? - -```bash -$ ls -l data/ --rw-r--r-- user staff samples.mat --rw-r--r-- user staff samplesFinal.mat --rw-r--r-- user staff samplesFinalV2.mat --rw-r--r-- user staff samplesUSE_THIS_ONE.mat --rw-r--r-- user staff samplesV2.mat -``` - ---- - -# The project directory - -The first step towards working reproducibly: **.green[Get organized!]** - -- Divide your work into distinct projects. -- Keep all files needed to go from raw data to final results in a dedicated directory. -- Use relevant subdirectories. - - ---- - -# There are many ways to organize a project - -One example: - -.small[ -```bash -code/ code needed to go from input files to final results - -data/ raw and primary data (never edit!) - -doc/ documentation of the study - -intermediate/ output files from intermediate analysis steps - -logs/ logs from the different analysis steps - -notebooks/ notebooks that document your day-to-day work - -results/ output from workflows and analyses - -scratch/ temporary files that can be safely deleted or lost - -config.yml configuration of the project workflow - -Dockerfile recipe to create a project container - -environment.yml project dependencies list used to create software environment - -README.md project description and instructions - -Snakefile workflow file used by snakemake -``` -] - ---- - -# There are many ways to organize a project - -Another example: - -.small[ -```bash -config/ -workflow/ - Snakefile -LICENSE -README.md -``` -] ---- - -# Helpful tools - -*syntax highlighting, autocomplete, git integration etc* - -- -- -- - ---- - -class: center, middle - -# Questions? - ---- - -# Topics for discussion in breakout rooms - -.large[ -- Do you organize your work in distinct projects? -- How do you organize your files in this context? -- Are you happy with the way you work today? -- Does your group have a data management plan in place? -- Do you know "your" repositories and how to submit data to them? -] \ No newline at end of file diff --git a/lectures/data-management/data-management.html b/lectures/data-management/data-management.html new file mode 100644 index 00000000..01f0652f --- /dev/null +++ b/lectures/data-management/data-management.html @@ -0,0 +1,2588 @@ + + + + + + + + + + + + + Managing your data + + + + + + + + + + + + + + + +
+
+ +
+

Managing your data

+ +
+
+ +
+
+

Data (mis)management in practice

+ +++++ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Raw dataMetadata
Data acquisitionData arrives in cumbersome and proprietary formatIn researcher’s lab journal
AnalysisGets converted to format of choice. Original files (and conversion settings) are lostHard-coded in various analysis scripts
First submissionMailed back and forth between collaborators in ever-changing (but nicely coloured) Excel sheets
ReviewLeads a quiet life on the HPC cluster, until the project expires and the data has to be urgently retrieved
Second submissionEnds its days on an external hard drive on the researcher’s deskReformatted and included as PDF in the supplementary
Publication“Data available upon request”
+
+
+

FAIR data

+

Strive to make your data FAIR1 for both machines and humans:

+
    +
  • Findable
  • +
  • Accessible
  • +
  • Interoperable
  • +
  • Reusable
  • +
+
+
+

Data management plan

+
+
    +
  • Check requirements of funding agency and field of research 1
  • +
  • Determine required storage space for short and long term
  • +
  • Provide helpful metadata
  • +
  • Consider legal/ethical restrictions if working with sensitive data
  • +
  • Find suitable data repositories
  • +
  • Strive towards uploading data to its final destination at the beginning of a project
  • +
+
+
+
+

Data sharing

+
+
+

+
+
+

Why Open Access?

+
    +
  • Publicly funded research should be unrestricted
  • +
  • Published results should be verifiable by others
  • +
  • Enables other to build upon previous work
  • +
+
+
+

Organizing your projects

+

Which sample file represents the latest version?

+
$ ls -l data/
+-rw-r--r--  user  staff  samples.mat
+-rw-r--r--  user  staff  samplesFinal.mat
+-rw-r--r--  user  staff  samplesFinalV2.mat
+-rw-r--r--  user  staff  samplesUSE_THIS_ONE.mat
+-rw-r--r--  user  staff  samplesV2.mat
+
+
+

The project directory

+

The first step towards working reproducibly: Get organized!

+
    +
  • Divide your work into distinct projects
  • +
  • Keep all files needed to go from raw data to final results in a dedicated directory
  • +
  • Use relevant subdirectories
  • +
+
+
+

There are many ways to organize a project

+
+
+
+

A simple but effective example is the following:

+
code/             Code needed to go from input files to final results
+data/             Raw data - this should never edited
+doc/              Documentation of the project
+env/              Environment-related files, e.g. Conda environments or Dockerfiles
+results/          Output from workflows and analyses
+README.md         Project description and instructions
+
+
+
+
+

Another example is the NBISweden/project_template:

+
code/             Code needed to go from input files to final results
+data/             Raw data - this should never edited
+doc/              Documentation of the project
+intermediate/     output files from intermediate analysis steps
+logs/             Logs from the different analysis steps
+notebooks/        Notebooks that document your day-to-day work
+results/          Output from workflows and analyses
+scratch/          Temporary files that can be safely deleted or lost
+config.yml        Configuration of the project workflow
+Dockerfile        Recipe to create a project container
+environment.yml   Project dependencies list used to create software environment
+README.md         Project description and instructions
+Snakefile         Workflow file used by snakemake
+
+
+
+

A Snakemake-based example: snakemake-workflows/template

+
config/
+workflow/
+  Snakefile
+LICENSE
+README.md
+


+

A Nextflow-based example: fasterius/nbis-support-template

+
bin/
+data/
+doc/
+env/
+results/
+README.md
+main.nf
+nextflow.config
+
+
+
+
+

Helpful tools

+
+

Syntax highlighting, autocomplete, Git integration, etc.:

+ +
+
+

Working in an HPC over SSH in the command line:

+ +
+
+
+
+

Questions?

+ +
+
+

Topics for discussion in breakout rooms

+
    +
  • Do you organize your work in distinct projects?
  • +
  • How do you organize your files in this context?
  • +
  • Are you happy with the way you work today?
  • +
  • Does your group have a data management plan in place?
  • +
  • Do you know “your” repositories and how to submit data to them?
  • +
+ + +
+ +
+
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zNXo3y`1qI=jhz8f9N^xM`MHIKEkKV0G&9+Az`2pRfdv`xnyXtv8{1dbwpVwAuxk!r NYmWBlk+{6X{{o1Yr_BHW diff --git a/lectures/data-management/data-management.qmd b/lectures/data-management/data-management.qmd new file mode 100644 index 00000000..c7cc4d95 --- /dev/null +++ b/lectures/data-management/data-management.qmd @@ -0,0 +1,165 @@ +--- +title: "Managing your data" +format: nbis-revealjs +--- + +## Data (mis)management in practice {.smaller} + +| | [Raw data]{.green} | [Metadata]{.green} | +| ----------------- | --------------------------- | --------------------------- | +| [Data acquisition]{.green} | Data arrives in cumbersome and proprietary format | In researcher's lab journal | +| [Analysis]{.green} | Gets converted to format of choice. Original files (and conversion settings) are lost | Hard-coded in various analysis scripts | +| [First submission]{.green} | | Mailed back and forth between collaborators in ever-changing (but nicely coloured) Excel sheets | +| [Review]{.green} | Leads a quiet life on the HPC cluster, until the project expires and the data has to be urgently retrieved | | +| [Second submission]{.green} | Ends its days on an external hard drive on the researcher's desk | Reformatted and included as PDF in the supplementary | +| [Publication]{.green} | "Data available upon request" | | + +## FAIR data + +Strive to make your data FAIR^[_Wilkinson, Mark et al. "The FAIR Guiding +Principles for scientific data management and stewardship". Scientific Data 3, +Article number: 160018 (2016)_] for both machines and humans: + +- [**F**]{.green}indable +- [**A**]{.green}ccessible +- [**I**]{.green}nteroperable +- [**R**]{.green}eusable + +## Data management plan + +::: {.incremental} +- Check [requirements of funding agency]{.green} and field of research + ^[_https://www.vr.se/english/calls-and-decisions/grant-terms-and-conditions/data-management-plan.html_] +- Determine [required storage]{.green} space for short and long term +- Provide [helpful metadata]{.green} +- Consider legal/ethical restrictions if working with [sensitive data]{.green} +- Find suitable [data repositories]{.green} +- Strive towards uploading data to its final destination at the [beginning of a + project]{.green} +::: + +## Data sharing + +![](https://www.openaccess.nl/sites/www.openaccess.nl/files/documenten/open-access-logo-png-transparent.png){height=250 fig-align=center} + +**Why Open Access?** + +- Publicly funded research should be [unrestricted]{.green} +- Published results should be [verifiable by others]{.green} +- Enables other to [build upon previous work]{.green} + +## Organizing your projects {.larger} + +_Which sample file represents the [latest]{.green} version?_ + +```bash +$ ls -l data/ +-rw-r--r-- user staff samples.mat +-rw-r--r-- user staff samplesFinal.mat +-rw-r--r-- user staff samplesFinalV2.mat +-rw-r--r-- user staff samplesUSE_THIS_ONE.mat +-rw-r--r-- user staff samplesV2.mat +``` + +## The project directory + +The first step towards working reproducibly: [Get organized!]{.green} + +- Divide your work into [distinct projects]{.green} +- Keep all files needed to go from raw data to final results in a dedicated + directory +- Use [relevant subdirectories]{.green} + +## There are many ways to organize a project + +::: {.r-stack} + +::: {.fragment fragment-index=1} +::: {.fragment .fade-out fragment-index=2} +A simple but effective example is the following: +```bash +code/ Code needed to go from input files to final results +data/ Raw data - this should never edited +doc/ Documentation of the project +env/ Environment-related files, e.g. Conda environments or Dockerfiles +results/ Output from workflows and analyses +README.md Project description and instructions +``` +::: +::: + +::: {.fragment fragment-index=2} +::: {.fragment .fade-out fragment-index=3} +Another example is the [NBISweden/project_template](https://github.com/NBISweden/project_template): +```bash +code/ Code needed to go from input files to final results +data/ Raw data - this should never edited +doc/ Documentation of the project +intermediate/ output files from intermediate analysis steps +logs/ Logs from the different analysis steps +notebooks/ Notebooks that document your day-to-day work +results/ Output from workflows and analyses +scratch/ Temporary files that can be safely deleted or lost +config.yml Configuration of the project workflow +Dockerfile Recipe to create a project container +environment.yml Project dependencies list used to create software environment +README.md Project description and instructions +Snakefile Workflow file used by snakemake +``` +::: +::: + +::: {.fragment fragment-index=3} +A Snakemake-based example: [snakemake-workflows/template](https://github.com/snakemake-workflows/snakemake-workflow-template) +```bash +config/ +workflow/ + Snakefile +LICENSE +README.md +``` + +
+ +A Nextflow-based example: [fasterius/nbis-support-template](https://github.com/fasterius/nbis-support-template) +```bash +bin/ +data/ +doc/ +env/ +results/ +README.md +main.nf +nextflow.config +``` +::: + +::: + +## Helpful tools + +::: {.fragment} +*Syntax highlighting, autocomplete, Git integration, etc.:* + +- [VSCode](https://code.visualstudio.com/) +- [RStudio](https://rstudio.com/) +- [PyCharm](https://www.jetbrains.com/pycharm/) +::: + +::: {.fragment} +*Working in an HPC over SSH in the command line:* + +- [Nano](https://www.nano-editor.org/) +- [Vim](https://www.vim.org/) +- [NeoVim](https://neovim.io/) +::: + +# Questions? + +## Topics for discussion in breakout rooms + +- Do you organize your work in distinct projects? +- How do you organize your files in this context? +- Are you happy with the way you work today? +- Does your group have a data management plan in place? +- Do you know "your" repositories and how to submit data to them? diff --git a/lectures/data-management/template.css b/lectures/data-management/template.css deleted file mode 100644 index 9735718b..00000000 --- a/lectures/data-management/template.css +++ /dev/null @@ -1,125 +0,0 @@ -/* CSS style general NBIS presentations using Xaringen and RMarkdown */ - -/* Import Google font */ -@import url('https://fonts.googleapis.com/css?family=Open+Sans&display=swap'); - -/* Fonts */ -body,p,h1,h2,h3,h4,h5,h6 { - font-family: 'Open Sans', sans-serif; - font-weight: 400; - font-size: 20px; - color: #333333; -} - -/* Header 1 font size */ -h1 { - font-size: 1.7em !important; -} - -/* Header 2 font size */ -h2 { - font-size: 1.2em !important; -} - -/* Header 3 font size */ -h3 { - font-size: 0.9em !important; -} - -/* Custom font sizes */ -.micro { font-size: 25% } -.tiny { font-size: 50% } -.smaller { font-size: 66% } -.small { font-size: 75% } -.large { font-size: 125% } -.huge { font-size: 150% } -.Huge { font-size: 200% } -.HUGE { font-size: 250% } - -.remark-code { font-size: 100% } - -/* Custom colours */ -.green { color: #85be42; font-weight: bold } -.dark-green { color: #487a2d; font-weight: bold } -.blue { color: #0099c2; font-weight: bold } -.dark-blue { color: #015491; font-weight: bold } -.light-grey { color: #999999 } -.grey { color: #666666 } -.dark-grey { color: #333333 } - -/* Set the maximum figure size to 100% of the slide */ -img, video, iframe { - max-width: 100%; - max-height: 100%; -} - -table_rot { - color: black; - text-transform: uppercase; - @include transform(rotate(270deg)) - @include transform-origin(0 0); -} - -/* SciLifeLab logo in bottom left corner */ -div.scilife-logo { - content: ""; - background-image: url("https://www.scilifelab.se/wp-content/uploads/2020/09/SciLifeLab_Logotype_Green_POS_large-copy-1536x334.png"); - background-repeat: no-repeat; - background-size: contain; - position: absolute; - bottom: 10px; - left: 15px; - height: 50px; - width: 200px; -} - -/* NBIS logo in bottom right corner */ -div.nbis-logo { - content: ""; - background-image: url("https://nbis.se/assets/img/logos/nbislogo-green.svg"); - background-repeat: no-repeat; - background-size: contain; - position: absolute; - bottom: 23px; - right: 27px; - height: 35px; - width: 100px; -} - -/* Blockquotes */ -blockquote { - border-left: 5px solid #85be42; - background: #f9f9f9; - font-style: italic; - padding: 0.01em; - padding-left: 12px; - padding-right: 12px; - margin-left: 12px; - margin-right: 12px; - border-radius: 0 5px 5px 0; -} - -/* Link colour */ -a { - color: #85be42; - text-decoration: none; -} - -/* Underline links when hovering */ -a:hover { - text-decoration: underline; -} - -/* Inline code color and border */ -.remark-inline-code { - background: #f2f2f2; - border-radius: 3px; - margin-right: 2px; - padding: 2px 3px 1px; - font-size: 80% !important; -} - -.image-with-text { - display: inline-block; - vertical-align: middle; -}