Open Access
Table 2
Content and cross-tabulation analysis for the most frequent data quality dimensions and their related DQFs, collated from literature and NSOs. (Created by the author).
| Code | Quality dimension | Literature sources | Data quality frameworks sources | Definition |
|---|---|---|---|---|
| 1 | Accuracy | (Loshin, 2011), | (Stats NZ, 2017), (European Statistical System, 2019), (Government Data Quality Hub, 2020), |
“The closeness of estimates to the exact or true values that the statistics were intended to measure.” (Government Data Quality Hub, 2020), |
| 2 | Timeliness | (Sebastian-Coleman, 2013), | 2018 Census data quality management strategy (Stats NZ, 2017), (European Statistical System, 2019), (Government Data Quality Hub, 2020), |
“The length of time between the end of a reference period (or date) and the dissemination of the statistics.” (Government Data Quality Hub, 2020). |
| 3 | Completeness | (Loshin, 2011), (Sebastian-Coleman, 2013), |
(Government Data Quality Hub, 2020), | “Conceptually, completeness implies having all the necessary or appropriate parts; being entire, finished, total.” (Sebastian-Coleman, 2013). |
| 4 | Validation | (Sebastian-Coleman, 2013), | (Government Data Quality Hub, 2020), | “Validity is the degree to which data conform to a set of business rules, sometimes expressed as a standard or represented within a defined data domain.” (Sebastian-Coleman, 2013). |
| 5 | Constancy/Coherence | (Loshin, 2009), (Loshin, 2011), (Sebastian-Coleman, 2013), |
2018 Census data quality management strategy (Stats NZ, 2017), (European Statistical System, 2019), (Government Data Quality Hub, 2020), |
“The ability to reliably combine statistics and datasets in different ways and for various uses. Consistency is often used as a synonym for coherence.” (Government Data Quality Hub, 2020). |
| 6 | Relevancy | (Black & Nederpelt, 2020a). | 2018 Census data quality management strategy (Stats NZ, 2017), (European Statistical System, 2019). |
“The degree to which the composition of datasets meets the needs of the data consumer.” (Black & Nederpelt, 2020a). |
| 7 | Accessibility | (Mahanti, 2019) | 2018 Census data quality management strategy (Stats NZ, 2017), (European Statistical System, 2019). |
“The ease and conditions with which statistical information can be obtained.” (Government Data Quality Hub, 2020). |
| 8 | Currency | (Loshin, 2009), (Loshin, 2011), (Black & Nederpelt, 2020a). |
“The degree to which data values are up to date.” (Black & Nederpelt, 2020a). | |
| 9 | Uniqueness | (Loshin, 2009), | The Government Data Quality Framework (Government Data Quality Hub, 2020). | “The degree to which objects (of the real world) occur only once as a record in a data file.” (Black & Nederpelt, 2020a). |
| 10 | Reasonableness | (Loshin, 2011), (Sebastian-Coleman, 2013), |
“The degree to which a data pattern meets expectations.” (Black & Nederpelt, 2020a). | |
| 11 | Integrity | (Sebastian-Coleman, 2013), (Black & Nederpelt, 2020a). |
(Federal Committee on Statistical Methodology, 2020). | “The degree of absence of data value loss or corruption.” (Black & Nederpelt, 2020a). |
| 12 | Reliability | (Black & Nederpelt, 2020a). | The Government Data Quality Framework (Government Data Quality Hub, 2020). | “The closeness of the initially estimated value(s) to the subsequent estimated value(s) if preliminary figures are disseminated.” (Government Data Quality Hub, 2020), |
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