In this Release, we added an objective Linked data quality module.
Roomba Quality is able to check the quality of the dataset by examining the attached metadata. There are six quality measures checked against 30 quality indicators.
Quality Measures completeness, availability, licensing, freshness, correctness, comprehensibility, provenance
Quality Indicators
- Supports multiple serializations
- Has different data access points
- Uses datasets description vocabularies
- Existence of descriptions about its size
- Existence of descriptions about its structure (MIME Type, Format)
- Existence of descriptions about its organization and categorization
- Existence of dereferencable links for the dataset and its resources
- Existence of an RDF dump that can be downloaded by users
- Existence of queryable endpoints that respond to direct queries
- Existence of valid dereferencable URLs (respond to HTTP request)
- Existence of human and machine readable license information
- Existence of dereferencable links to the full license information
- Existence of timestamps that can keep track of its modifications
- Includes the correct MIME type for the content
- Includes the correct size for the content
- Absence of Syntactic errors on the links level
- Use the HTTP URI Scheme
- Existence of at least one exemplary RDF file
- Existence of general information (title, URL, description) for the dataset
- Existence of mailing list, message board or point of contact
- Existence of metadata that describes its authoritative information
- Usage of Versioning