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− | Some important things to know:
| + | Data quality at Open Food Facts is guided by 3 main principles: |
| * Quality does not make sense for itself: quality depends on usages. | | * Quality does not make sense for itself: quality depends on usages. |
− | * No database at all can pretend to zero-default. | + | * We always try to favor ease of use and ease of collection. Data quality control, data verification and data fix should never be an obstacle to data gathering. |
− | * With more than 2 700 000 products, there are quality concerns: our goal is to lower the impacts of the issues.
| + | * No database at all can pretend to zero-default. With more than 2 700 000 products, there are quality concerns. Data quality is done on a "best effort" basis. The effort on data quality includes measuring quality, setting objectives, publishing them and implementing them. |
| + | These principles and our high level objectives are described in this short document (~5 pages)which you should read at first if you want to go further: |
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− | == Data quality principles at Open Food Facts ==
| + | https://link.openfoodfacts.org/data-quality |
− | [summary + link]
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− | == How do we manage data quality? == | + | == Measures == |
| + | We have started an initiative to measure and publish continuously some data quality stats. We have created a specific page dedicated to [[data quality stats]]. |
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| == How to help? == | | == How to help? == |
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| === Data quality measurement === | | === Data quality measurement === |
− | We have started an initiative to measure and publish continuously some data quality stats. We have created a specific page dedicated to [[data quality stats]].
| + | See [[data quality stats]]. |
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| === Quality facets === | | === Quality facets === |