Session number: 10
Expected participants: Relevant to all, special relevance to those publishing data
Length: 1-1.5 hours
Web based exercises: No
What to bring: Slides, Web-Connected Laptop
- The importance of creating usable data - The facilitator should lead participants in a discussion of what makes data usable. Participants should brainstorm in their groups about all the things which make a dataset usable such as the licence, the format, online availability and common structure. The participants should report back their findings on the flip chart
- Understanding the first three stars of Open Data - The facilitator should take participants through each of the first 3 stars of linked Open Data (Open licence, highly reusable format, open format) and explain how each of these stars builds toward higher technical quality and greater legal clarity for datasets.
- Creating 3-star Open Data - The participants will apply the lessons of the first 3 stars to prepare an open dataset in 3-star standard and (depending on session and platform availability) publish this dataset to a platform. The facilitator should provide experimental dataset(s) for the process.
- Example of Star Badging - This data from the Italian Digital Agency provides an example of a clearly displayed ‘5 stars’ badge and shows how the schema can be used as a quality marque.
- Example of Highly Reusable Formats - This data from energy giant Enel shows how publishing in multiple formats helps to meet both the second star (highly reusable format) and third star (open format)
Companion eLearning Modules:
When running this session, we recommend that participants complete the following eLearning module before attending:
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.