# Jargon Busting

## Requirements

- Boards/pads
- Pens
- Sticky notes
- Internet (optional)

## Objectives

- Icebreaker
- Finding confidence level
- Explain terms, phrases, and concepts associated with terms, phrases, or ideas around data
- Compare knowledge of these terms, phrases, and concepts
- Differentiate between these terms, phrases, and concepts

## Task

We will be separating into groups of 4-5 per table.

### Part A: 20 minutes

Taking the following set of terms and ideas, work together to explain what each one means (note: use both each other and the internet as a resource!). Try to only spend 2 mins (max) on each and don't worry about covering them all. Make a note of those your group resolves and those you are still struggling with.

Use flipchart paper to write down each term, with thoughts on the definition around each one.

Terms | Terms | Terms |
---|---|---|

Dataset | Pivot table | Data science |

Group | Formula | Average |

Algorithm | Big data | Outlier |

Open data | Aggregation | Anonymisation |

Regular expression | Data mining | Data protection |

### B: Feedback 10 mins

Report back on a single term discussed by your group. 1 minute each.

We'll go through definitions of each.

## Key points

- It helps to share what you know and don’t know about data and data-science jargon.

## Source Material

Library Carpentry Data Intro for Librarians