Data quality guidelines

This solution provides general recommendations data publishers should consider when publishing data.
These recommendations apply to all kind of data regardless the file format they are published in. The
recommendations are grouped by the FAIR-principles: For increasing the Findability, Accessibility, Interoperability, and reusability of your data. Each recommendation includes a description, screenshots, and a reference to the respective metric as well as helpful information about tooling and / or linkage to further relevant sources of information. The guidelines cover specific recommendations for the machine-readable formats CSV, XML, RDF, JSON and APIs.