Library Carpentry workshops teach people working in library- and information-related roles how to:
- Cut through the jargon terms and phrases of software development and data science and apply concepts from these fields in library tasks;
- Identify and use best practices in data structures;
- Learn how to programmatically transform and map data from one form to another;
- Work effectively with researchers, IT, and systems colleagues;
- Automate repetitive, error prone tasks.
No endpoint visible, but it has a GitHub repo for every lesson in Markup
schema.org (JSON)
Items
| Title | Description | Collections |
|---|---|---|
| Core Curriculum | The lessons introduce terms, phrases, and concepts in software development and data science, how to best work with data structures, and use regular expressions in finding and matching data. We introduce the Unix-style command line interface, and teach basic shell navigation, as well as the use of loops and pipes for linking shell commands. We also introduce grep for searching and subsetting data across files. Exercises cover the counting and mining of data. In addition, we cover working with OpenRefine to transform and clean data, and the benefits of working collaboratively via Git/GitHub and using version control to track your work. |
Training Discovery Toolkit |
| Top 10 FAIR Data and Software Things | The Top 10 FAIR Data & Software Things are brief guides (stand alone, self paced training materials), called "Things", that can be used by the research community to understand how they can make their research (data and software) more FAIR. Each discipline/topic has its own specific list:
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Training Discovery Toolkit |