Author Carpentry
What's it all about?
Types of Carpentry
- Software Carpentry
- Data Carpentry
- Library Carpentry
- Author Carpentry
- Data Science Training for Librarians
and more...
Goal is to make scientists more productive, and their work more reliable, by teaching them basic computing skills. Focusses on programming.
Skills taught:
- Unix Shell
- Git
- Python / R / MATLAB
- SQL
Aimed at:
- Scientific Researchers
- Disciplines that would benefit from automation
A sibling to Software Carpentry, but focuses on data analysis skills rather than programming skills. It teaches people who are wrangling data manually how to automate make their work and make it more reproducible.
Skills taught:
- Spreadsheets
- OpenRefine
- SQL
- Analysis and Visualisation (Python / R)
Aimed at:
- Data intensive disciplines
- streams for biologists, genomics, ecologists, geographers, social science
Library Carpentry
Software skills training aimed at the needs and requirements of library professionals.
Skills taught:
- Unix Shell
- Git
- OpenRefine
- SQL
Aimed at:
LibrariansData Science Training for Librarians #dst4l
Aims to make "data savvy" librarians through training in a number of tools and systems.
Skills taught:
- Open Refine
- Git and Github
- Repositories
- Visualisation tools
- Data analysis and wrangling
Aimed at:
LibrariansAuthor Carpentry
Author Carpentry aims to advance production and curation of the Research Paper of the Future, crafted as a fully open, executable, reproducible,Skills taught:
- Scholarly Identity DOIs, ORCID
- LaTeX, BiBTeX
- Licensing
- Open Access Publishing
Aimed at:
Researchers who publish (i.e. everyone)Exercises
http://caltechlibrary.github.io/AuthorCarpentry/