|
How do you measure the quality of statistical information produced as a result of data integration activities? |
[count] |
|---|---|
| 6 | |
| As integral part of quality reporting | 15 |
| On an ad-hoc basis | 8 |
| Do not measure the quality of the integrated dataset | 2 |
How do you measure the quality of statistical information produced as a result of data integration activities?
Do you use a quality framework for data integration activities?
If you use a quality framework, please describe and/or provide links
|
Organisation |
If you use a quality framework, please describe and/or provide links |
|---|---|
| Statistics Finland | ESS QAF: http://ec.europa.eu/eurostat/documents/64157/4392716/ESS-QAF-V1-2final.pdf/bbf5970c-1adf-46c8-afc3-58ce177a0646 |
| Statistical Office of the Republic of Slovenia (SURS) |
We use 3 standard quality indicators related to data integration: - rate of unsuccessful linking of the variable - rate of compliance of sources - rate of compliance of results |
| Stats NZ | https://www.degruyter.com/view/j/jos.2017.33.issue-2/jos-2017-0023/jos-2017-0023.xml |
| Israel Central Bureau of Statistics | Quality framework: CoP and QAF for ENP-south countries and GSBPM |
| Eurostat | The ESSnet project KOMUSO on quality of multisource statistics addresses the quality of input data, the methodology for assessing the quality of frames for social statistics and the quality framework to evaluate the statistical output based on multiple sources. Further details are at https://ec.europa.eu/eurostat/cros/content/essnet-quality-multisource-statistics-komuso_en The project has four work packages (WP): WP1 - Checklists for evaluating the quality of input data WP2 - Methodology f |
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