Quality system in a digitalised and modernised statistical

Quality system in a digitalised and modernised statistical system Grete Olsen, Division for Methods, Statistics Norway, gol@ssb. no Aslaug Hurlen Foss, Division for Methods, Statistics Norway, ahf@ssb. no Ane Seierstad, Division for Methods, Statistics Norway, sei@ssb. no

Vision for a digitalised and modernised statistical production system in Statistics Norway

General decisions for establishing quality indicators Quality indicators for Statistical Processes and Statistical output only • No work on quality indicators for institutional environment at this stage. • Started with collect Generic indicators • All statistics or groups of statistics • Possible to make quality indicators for each statistic Simple and easy to use • Complex quality indicators in the future • Quantity to estimate workload • Total illustrated with percent and ratio.

Collect

Quality in processes and statistical output Quality in Processes Source data Processed data Quality indicators for long-term stored data states Statistical data

Quality Indicators for source data General information about the dataset • Name: Gives us information about the dataset • Description: • The name • Identity: • Where it comes from • Date Created: • Where to find it • Source Name: • When it was created • Created by: • Data URL: • Data state: Source data /Processes data/Statistical data/temporary data

Quality indicators for source data Receiving data and metadata Readability • Yes/No Transformed into Statistics Norway format • Yes/No Complete metadata • Yes/No • Number of variables with incomplete metadata • Report on which variables who are incomplete.

Quality Indicators for source data Content Overview of data sets • Number of units and variables Completeness of data sets • The number of values missing in total and distributed by variables Duplicates • Number of units with equal identifier component

Quality Indicators for source data Controll in collect • Number of units stopped, hard control • Number of units reported, soft controls. • The number of hits in controls per unit. Reports? Comments • Number of units where the data comes with comments from respondents or register owners.

Quality Indicators for source data Response and nonresponse Units who reported • Total distributed on categories • Cumulatively by time: Number, ratio and percent for units and values. Reason for nonresponse • Sold • Should not have been in the sample • Unknown address • etc.

In the future, generic quality indicators will follow the data in the tower of information

Quality system in a digitalised and modernised statistical system Thank you! Grete Olsen, Division for Methods, Statistics Norway, gol@ssb. no