Blog article: Data Quality Checklist
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Creating the perfect dataset isn’t an exact science, but there are steps you can take to ensure that your dataset is optimized for your users. This means ensuring that your open data files are truly open and free of barriers that might prevent your users from working with the data, such as to create visualizations or analyze for research purposes. This checklist aims to give you a sense of simple steps you can take to improve your data files.1. Remove headings
Before optimization:
After optimization:
2. Remove all formulas
Before optimization:
After optimization:
3. Clear all formatting
Before optimization:
After optimization:
4. Ensure data is granular
Before optimization:
After optimization:
5. Improve overall structural consistency
Before optimization:
After optimization:
6. Ensure consistent formats
Before optimization:
After optimization: