Nov 17-18, 2020
12-4 pm CT
Instructors: Trisha Adamus, Jennifer Lee, Abigail Sparling
Helpers: Jie Chen, Nathan Humpal
Library Carpentry is made by people working in library- and information-related roles to help you:
Library Carpentry introduces you to the fundamentals of computing and provides you with a platform for further self-directed learning. For more information on what we teach and why, please see our paper "Library Carpentry: software skills training for library professionals".
Who: The course is for people working in library- and information-related roles. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
When: Nov 17-18, 2020. Add to your Google Calendar.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).
Accessibility: We are dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.
Contact: Please email email@example.com for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
Please be sure to complete these surveys before and after the workshop.
|Before Starting||Pre-workshop survey|
|Tidy data for librarians|
|Introduction to Working with Data (Regular Expressions)|
To participate in a Library Carpentry workshop, you will need access to the software described below. In addition, you will need an up-to-date web browser.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.
If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.
Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the Zoom video conference client open. In order to see both at once, we recommend using one of the following set up options:
Spreadsheets are useful for data entry and data organization, and some subsetting and sorting of the data as well as getting an overview of the data. To interact with spreadsheets, we can use LibreOffice, Microsoft Excel, Gnumeric, OpenOffice.org, or other programs. Commands may differ a bit between programs, but general ideas for thinking about spreadsheets is the same.
For this lesson, if you don’t have a spreadsheet program already, you can use LibreOffice. It’s a free, open source spreadsheet program.
Download training_attendance.xlsx, which is a
xlsx file that should automatically download. You may need to right click or control click in order to save the file (NOTE: In Safari, right click and select download linked file; in Chrome and Firefox, right click and select save link as). Make a note of the location (i.e the folder, your desktop) to which you save the file.
OpenRefine is a tool to clean up and organize messy data. Please find instructions to install it and the data used in the lesson in the lesson.
You need to install OpenRefine and download a data file to follow this lesson.
You can download OpenRefine from http://openrefine.org/download.html. This lesson has been tested with all versions of OpenRefine up to the latest tested version, 3.4.
If you are using an older version, it is recommended you upgrade to the latest tested version.
There are versions for Windows, macOS and Linux.
Please follow the installation instructions on the OpenRefine wiki: Installation Instructions
You can download doaj-article-sample.csv, which is a csv file that will open in a new browser tab. Be sure to right click or control click in order to save the file (NOTE: In Safari, right click and select download linked file; in Chrome and Firefox, right click and select save link as…). Make a note of the location (i.e. the folder, your desktop) to which you save the file.