# Jargon Busting

## Requirements

- Flipchart paper
- Pens
- Sticky notes
- Internet (optional)

## Objectives

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

## Task

We will be separating into groups of 5-6 per table.

#### Part A: 15 minutes

Taking the following set of terms and work together to explain what each one means. Try to only spend 1 minute 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 |

Formula | Average | Algorithm |

Big data | Regular expression | Data protection |

Open data | Aggregation | Anonymisation |

#### B: Feedback 10 mins

Report back on a single term discussed by your group.

## 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