Capstone: Create Value from Open Data

Capstone is an individual assignment.

Participants choose the topic they wish to study and the problem they want solved. Your "playing field" should include data from different sectors, such as agriculture and nutrition, culture, economics, education & research, international & Europe, Housing, Sustainable, Development & Energies, Health & Social, Society, Territories & Transport. Participants are encouraged not to combine the data from different areas and to use the information with other open data sets (properly sourced).

Deliverable 1 is the initial preparation and problem qualification. It is important to determine the who, what, and how. What problem are we trying to solve? It promises value to citizens, public authorities, and companies. What data can we use to our advantage?

Deliverable 2 requires that the participant presents the intermediate outputs and adjusts to the analysis framework. This is done to verify the relevance and how the first results were obtained.

Deliverable 3 requires that the participant presents the final outputs as well as the value case. It is important to clarify the why. It will create value for citizens, public authorities, and companies.

Evaluation and grading: Participants will regularly present their results to each other. Participants will receive an evaluation framework to help them evaluate the quality of their deliverables.