1. Quality system in a digitalised and modernised statistical system
Grete Olsen, Division for Methods, Statistics Norway,
Aslaug Hurlen Foss, Division for Methods, Statistics Norway,
Ane Seierstad, Division for Methods, Statistics Norway,

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

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

4. Collect

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

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

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

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

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

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

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

13. Quality system in a digitalised and modernised statistical system
Thank you!
Grete Olsen, Division for Methods, Statistics Norway,