Some of the best practices for open data are:
Quality: Open data should ensure the quality, accuracy, or completeness of the data that they collect, produce, or analyze, and that they provide metadata, provenance, or validation information for the data.
Privacy: Open data should respect the privacy, security, or ethics of the data providers, users, or subjects, and that they comply with the relevant laws, regulations, or standards for the data.
Standards: Open data should adopt or follow the common or best standards, formats, or protocols for the data, and that they ensure the interoperability, usability, or compatibility of the data.
