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The DataLad handbook πŸ“™

This is a living resource on why and - more importantly - how to use DataLad. The rendered version is here: https://handbook.datalad.org, and is currently under initial development.

The handbook is a practical, hands-on crashcourse to learn and experience DataLad. You do not need to be a programmer, computer scientist, or Linux-crank. If you have never touched your computer's shell before, you will be fine. Regardless of your background and personal use cases for DataLad, the handbook will show you the principles of DataLad, and from chapter 1 onwards you will be using them.

Find more general information about the idea behind the handbook in the poster presented at the 2020 OHBM or dive straight into your DataLad adventure.

Contributing

Contributions in any form - pull requests, issues, content requests/ideas, ... are always welcome. If you are using the handbook and find that something does not work, please let us know. Likewise, if you are using DataLad for your individual project, consider contributing by telling us about your use-case. You can find out more on how to contribute here, and a list of all contributors so far below, in CONTRIBUTORS.md, and in .zenodo.json.

Notes for Instructors

The book is the basis for workshops and lectures on DataLad and data management. The handbook's course repository among other things contains live casts from the code examples in this book and slides. It is constantly growing, and everyone is free to use the material under the license terms below. Contributions and feedback are very welcome.

License

CC-BY-SA: You are free to

  • share - copy and redistribute the material in any medium or format
  • adapt - remix, transform, and build upon the material for any purpose, even commercially

under the following terms:

  1. Attribution β€” You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

  2. ShareAlike β€” If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Adina S. Wagner
Adina S. Wagner

πŸ’» πŸ–‹ πŸ“– 🎨 πŸ€” πŸš‡ 🚧 πŸ“† πŸ‘€ πŸ““ πŸ“’ ⚠️ πŸ› πŸ’‘ πŸ’¬ ️️️️♿️
Laura Waite
Laura Waite

πŸ€” 🚧 πŸ‘€ πŸ“’ πŸ’¬ πŸ–‹
Michael Hanke
Michael Hanke

πŸ’¬ πŸ› πŸ’» πŸ–‹ πŸ“– 🎨 πŸ’‘ πŸ€” πŸš‡ 🚧 πŸ”Œ πŸ“† πŸ‘€ πŸ”§ ⚠️ πŸ“’ πŸ““ ️️️️♿️
Kyle Meyer
Kyle Meyer

πŸ› πŸ‘€ πŸ’¬ πŸ–‹ πŸ€”
Marisa Heckner
Marisa Heckner

πŸ€” πŸ““ πŸ› πŸ–‹
Benjamin Poldrack
Benjamin Poldrack

πŸ’¬ πŸ€” πŸ’‘ βœ…
Yaroslav Halchenko
Yaroslav Halchenko

πŸ‘€ πŸ–‹ πŸ€” πŸ›
Chris Markiewicz
Chris Markiewicz

πŸ›
Pattarawat Chormai
Pattarawat Chormai

πŸ› πŸ’»
Lisa N. Mochalski
Lisa N. Mochalski

πŸ› πŸ–‹ πŸ’‘ πŸ€”
Lisa Wiersch
Lisa Wiersch

πŸ›
Jean-Baptiste Poline
Jean-Baptiste Poline

πŸ–‹
Nevena Kraljevic
Nevena Kraljevic

πŸ““
Alex Waite
Alex Waite

πŸ‘€ πŸ› πŸ€”
Lya K. Paas
Lya K. Paas

πŸ› πŸ’»
Niels Reuter
Niels Reuter

πŸ–‹
Peter Vavra
Peter Vavra

πŸ€” πŸ““
Tobias Kadelka
Tobias Kadelka

πŸ““
Peer Herholz
Peer Herholz

πŸ€”
Alexandre Hutton
Alexandre Hutton

πŸ–‹ πŸ›
Sarah Oliveira
Sarah Oliveira

πŸ‘€ πŸ€”
Dorian Pustina
Dorian Pustina

πŸ€”
Hamzah Hamid Baagil
Hamzah Hamid Baagil

πŸ““ πŸ›
Tristan Glatard
Tristan Glatard

πŸ› πŸ–‹
Giulia Ippoliti
Giulia Ippoliti

πŸ–‹ πŸ’‘
Christian MΓΆnch
Christian MΓΆnch

πŸ–‹
Togaru Surya Teja
Togaru Surya Teja

πŸ–‹
Dorien Huijser
Dorien Huijser

πŸ› πŸ““
Ariel Rokem
Ariel Rokem

πŸ›
Remi Gau
Remi Gau

πŸ› πŸ€” 🚧 πŸ‘€ πŸš‡ πŸ’» 🎨
Judith Bomba
Judith Bomba

πŸ›
Konrad Hinsen
Konrad Hinsen

πŸ›
Wu Jianxiao
Wu Jianxiao

πŸ›
MaΕ‚gorzata Wierzba
MaΕ‚gorzata Wierzba

πŸ““ πŸ‘€ βœ…
Stefan Appelhoff
Stefan Appelhoff

πŸš‡ πŸ”§ πŸ›
Michael Joseph
Michael Joseph

πŸ€” πŸ–‹ πŸ›
Tamara Cook
Tamara Cook

πŸ‘€ πŸš‡
Stephan Heunis
Stephan Heunis

πŸ› 🚧 πŸ–‹ πŸ’‘ πŸ‘€
Joerg Stadler
Joerg Stadler

πŸ›
Sin Kim
Sin Kim

πŸ› πŸ–‹ πŸ‘€
Oscar Esteban
Oscar Esteban

πŸ›
MichaΕ‚ Szczepanik
MichaΕ‚ Szczepanik

πŸ‘€ πŸ› πŸ–‹
eort
eort

πŸ›
Myrskyta
Myrskyta

πŸ›
Thomas Guiot
Thomas Guiot

πŸ›
jhpb7
jhpb7

πŸ›
Ikko Ashimine
Ikko Ashimine

πŸ›
Arshitha Basavaraj
Arshitha Basavaraj

πŸ–‹ πŸ› 🚧
Anthony J Veltri
Anthony J Veltri

πŸ““
Isil Bilgin
Isil Bilgin

πŸ› 🚧
Julian Kosciessa
Julian Kosciessa

πŸ–‹
Isaac To
Isaac To

🚧 πŸ–‹ πŸ›
Austin Macdonald
Austin Macdonald

πŸ›
Christopher S. Hall
Christopher S. Hall

πŸ›
jcf2
jcf2

πŸ›
Julien Colomb
Julien Colomb

πŸ–‹
Danny Garside
Danny Garside

πŸ› 🚧
Justus Kuhlmann
Justus Kuhlmann

πŸ–‹
melanieganz
melanieganz

πŸ›
Damien François
Damien François

πŸ› πŸ–‹
Tosca Heunis
Tosca Heunis

πŸ› πŸ““
Jeremy Magland
Jeremy Magland

πŸ›

This project follows the all-contributors specification. Contributions of any kind welcome!

DataLad Handbook's Projects

artwork icon artwork

Figures and other materials shared between book and course

book icon book

Sources for the DataLad handbook

course icon course

Talks and materials for workshops based on the DataLad handbook

datalad-101 icon datalad-101

This is a showroom example of the DataLad-101 dataset. See http://handbook.datalad.org/en/latest/intro/narrative.html for information on how to use it.

datalad-course icon datalad-course

Talks and workshop materials with an updated reveal.js framework

dvc-datalad icon dvc-datalad

Automatically created - please ignore. Information on this section: https://handbook.datalad.org/r.html?dl-for-ml

iris_data icon iris_data

The iris flower data set as a DataLad dataset

midterm_project icon midterm_project

This is a showroom example of the "midterm_project dataset, and it belongs to the showroom DataLad-101 at https://github.com/datalad-handbook/DataLad-101 dataset. See http://handbook.datalad.org/en/latest/intro/narrative.html for information on how to use it.

parable icon parable

A collaborative space to write the DataLad parable.

repro-paper-sketch icon repro-paper-sketch

A template to create a reproducible paper with LaTeX, Makefiles, Python, and DataLad

resources icon resources

This repository hosts resources for users to work with the datalad handbook.

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