Metadata, Standards and Accessibility
Good preparation of data is important as elements such as metadata and data standards enable your users not only to find your data but to use it effectively. The progress not perfection mantra is crucial here, as technical elements can always be improved, but should not be allowed to impede publication.
Dataset metadata – standards and advice for data that describes datasets
Tabular Data and CSVs – tools and advice
Application programming interfaces (APIs) – best practices for machine-readable APIs
Naming data files and datasets – how to name datasets for easy finding and use
Accessibility – how to be inclusive of all people’s needs when publishing data
Data standards – why standards are important and how to develop one
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