Session number: 1

Expected participants: Relevant to all

Type of session: Training

Length: 1 - 1.5 hours

Exercises: Yes

Web based exercises: No

What to bring: Slides, Flipchart, Paper & Pens

Session Flow:

1. Definitions of data - Participants should define data. Facilitator should explore popular definitions of data and direct participants to the important characteristics.
2. Relationship between Data, Information & Knowledge - Facilitator should explore the relationship between data, information and knowledge.
3. Definitions of Open Data - Participants should define Open Data. Facilitator should explore popular definitions of Open Data from the resource collection below. Facilitator should highlight the important characteristics such as access, use & sharing and the licence.
4. Examples of Open Data - Facilitator should lead a group discussion on good examples to understand what is and isn’t Open Data.

Resources:

• Data, Info, Know Triangle - Good resource on the relationship between the terms
• OKF Definition of Open Data - Open Knowledge Foundation definition
• ODI definition of Open Data - Open Data Institute definition
• Open Data Now definition of Open Data - Joel Gurin definition
• EC definition of Open Data - European Commission Definition
• What makes data open - Guide with examples of Open Data

Companion eLearning Modules:

When running this session, we recommend that participants complete the following eLearning module before attending:

What is Open Data?

Completion of the module will help your learners develop a shared understanding of the material before the course and allow you to focus in greater depth on those topics of most interest to the trainees.