Data Quality

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the quality of data that makes it representative and aligned to the scope, nature, context and purpose of the intended use as applicable to an algorithm. Quality of data refers to data that is reasonably and sufficiently relevant, complete and free from errors in aggregation, annotation, maintenance, enrichment, ground truth constructive (inference or proxy or causative), correct syntax, sampling and training-test split as appropriate to the specific domain and/or industry context from reasonably calibrated sources

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