PeterParslow
commented
3 years ago The UK Government Data Quality Framework is based on the DAMA approach. You can find a brief description of how they expect data quality to be communicated at https://www.gov.uk/government/publications/the-government-data-quality-framework/the-government-data-quality-framework-guidance#communicating-data-quality-to-users.
The relevant bit seems to be that they consider data quality under six "dimensions":
- completeness
- uniqueness ("Inform users if some records in the data set are not unique")
- timeliness - which they start by saying "depends on the intended use of the data", so recommend simply telling users when the data was collected
- validity ("correct range and format")
- accuracy ("degree to which data matches reality")
Plus they recommend giving the "background to the data" - describing its lifecycle, how it was collected & by whom.
We could probably provide a general section on 'how to use GEMINI to communicate an assessment of the data against the DAMA/UK Government data quality dimensions". Something like:
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for completeness, use Data quality "Completeness - omission"
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for uniqueness, use Data quality "Completeness - commission"
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for timeliness, use [Temporal extent "end"
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for validity, use Data quality "Domain consistency" and "Format consistency" (and perhaps "Conceptual consistency", or perhaps "just" Conformity?)
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for accuracy, use Data quality "Absolute or external accuracy" (for positional attributes), "Quantitative attribute accuracy" and "non-quantitative attribute correctness"
And to provide information on the background of the data, use Lineage
playarragorn
UK Government have just issued a Framework for Data Quality and we need to incorporate this into UK Gemini *and other metadata standards)