Jargon Busting
Last updated on 2024-06-07 | Edit this page
Overview
Questions
- What terms, phrases, or ideas around code, data, or software development have you come across and feel you should know better?
Objectives
- Explain terms, phrases, and concepts associated with software development in libraries.
- Compare knowledge of these terms, phrases, and concepts.
- Differentiate between these terms, phrases, and concepts.
Jargon Busting
This exercise is an opportunity to gain a firmer grasp on some concepts related to data, code or software development in libraries.
- Pair with a neighbor or small group and decide who will take notes.
- Talk for three to five minutes about any terms, phrases, or ideas related to code, data, or software development that you’ve come across and perhaps feel you should know better.
- Have the note-taker compile your list of problematic terms, phrases, and ideas.
- Now in a larger group (or with everyone in the workshop) spend 5 to 10 minutes working together to try to explain what some of those terms, phrases, or ideas on your list mean. You can use other people in the room/Zoom, the Carpentries’ Glosario below, and other internet research to learn more about the terms.
- The instructor will collate terms and explanations on a whiteboard or Etherpad and facilitate a discussion about what we will cover today and where you can go for help on things we won’t cover.
Carpentries Glosario (English)
While there’s not a single site that will include every term that workshop attendees bring to the table, the Carpentries’ glossary is a great starting place for computing and data science terms. Glosario includes multilingual glossaries, as well.
Key Points
- It helps to share what you know and don’t know about software development and data science jargon.