What are the best practices for open data?

What are the best practices for open data?

Best practices for open data include ensuring data is accessible, machine-readable, and well-documented.

Can you explain why data documentation is important?

Data documentation helps users understand the context, structure, and limitations of the data, enhancing usability.

How can I ensure my data is machine-readable?

Use standard formats like CSV, JSON, or XML, and provide clear metadata to make your data machine-readable.

What are some common pitfalls to avoid with open data?

Common pitfalls include poor data quality, lack of updates, and insufficient user support or guidance.