1. Use Case Title:
- Deploy Vlaamse Water Data Space (VWDS)
2. User Story/Scenario:
- Policymakers on all governmental levels (local, provincial, Flemish)
- Farmers
- Industry
- As a policymaker, what is the state of the water quality in the region?
- As a company, what is the impact of my emissions on the surrounding water bodies?
- As a farmer, what is the evolution of the water quality around my parcels?
- As a data analyst, I need to discover all relevant datasets that have "a" link with water bodies in a certain region.
3. Problem Statement:
- Relevant data for monitoring water quality is being held by different organizations, making it difficult to provide a holistic view.
- Automatic discovery will hopefully stimulate organizations to share their data with other organizations and thus solve environmental challenges together through data.
4. Desired Outcome/Goal:
- based on a certain region, I can discover which water bodies are active
- I can discover datasets that generate observations about these water bodies
- I can discover datasets that contain indicators for the water quality on these water bodies (sewer overflow, discharge of waste, number of tourists...)
5. Data Catalog(s) Involved:
6. Data/Service Requirements:
- Data can be static (water bodies - GIS)
- Data can be dynamic (LDES)
- No SHACL currently
7. Discovery Criteria/Filters:
- Temporal: mainly historical to analyze evolution
- Spatial: city -> regional
- Keywords: "water", "overflow", "tourists", "observation"
- License: Open Data, but also closed
8. Expected Output/Results:
- What is the expected output or result of the automatic discovery process?
- Should the output be a list of datasets/services, metadata records, or direct data access?
See 4.
9. Additional Information:
- Include any other relevant information or context that may be helpful for understanding and implementing this use case.
1. Use Case Title:
2. User Story/Scenario:
3. Problem Statement:
4. Desired Outcome/Goal:
5. Data Catalog(s) Involved:
6. Data/Service Requirements:
7. Discovery Criteria/Filters:
8. Expected Output/Results:
See 4.
9. Additional Information: