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Data quality

May 9, 2018 by Elaine Mulligan

Data are generally considered high quality if they are fit for [their] intended uses in operations, decision making and planning. Primary attributes of data quality include timeliness, completeness, accuracy and reliability.

Source: Adapted from Wikipedia entry on Data Quality

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Updated January 13, 2022 | Top of Page
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