Istat quality policy: Preconditions of quality assessment
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1 Istat quality policy: Preconditions of quality assessment EU Twinning Project JO/13/ENP/ST/ November 2014 Component 3: Quality and metadata Activity 3.9: Quality Audit I Mrs Giovanna Brancato, Senior Researcher, Head of Unit Quality, Auditing and Harmonization Department for Integration, Quality, Research and Production Networks Development, ISTAT Mrs Orietta Luzi, Chief of Research, Head of Unit Methods and Techniques supporting the Statistical Production Department for National Accounts and Business Statistics, ISTAT
2 *Bergdahl et al. (2007) Handbook on DatQAM Data quality assessment map* External Environment Users Requirements Standards Assessment methods and tools Labelling Certification (ISO 20252) Self-Assessment Audits Process Variables Quality indicators Quality Reports User Surveys Preconditions Measurements of processes and products
3 Preconditions measurement and documentation Measurements of process and product quality are harmonised, computed and stored in a centralised system: SIDI/SIQual The system documents also metadata The system allows for producing Quality Reports
4 SIDI/SIQual: Information System for Survey documentation Main objectives of the system The SIDI/SIQual system is a tool for the documentation of the quality of Istat production processes and products
5 Assumptions 1. The quality is a multidimensional complex concept Product quality Process quality 2. Quality quantitative measures and indicators activities for the prevention, control and evaluation of the error documentation 3. The interpretation of the quality of a process requires supporting meta-information
6 Main elements of the system Generalised software Quality measures.. Data collection Data processing. Data release Output Quality indicators Quality control actions
7 SIDI Reference metadata model CONCEPTUAL METADATA Themes Units. OPERATIONS Phases Operations Sub-operations IN-DEPTH DOCUMENTATION: Sampling design Index production methodology DOCUMENTS REPOSITORY Regulations, Manuals Questionnaires Documents (field operations, methods, standards, ) GENERALISED SOFTWARE Phases Software QUALITY CONTROL ACTIONS Phase/Non sampling Errors Preventing Monitoring Evaluating STANDARD QUALITY INDICATORS Process oriented Product oriented
8 SIDI/SIQual Architecture SIDI I.Stat Staff Management Reference metadata SIQual internet National Statistical Programme Management metadata Input GUI ETL Reference metadata Quality indicators SIQual intranet Dissemination website Reference metadata Quality indicators ARMIDA (Validated microdata) Process quality report Product quality report DARC (Administrative archive) IT Application Catalogue Quality reporting Short method. note
9 Main features of SIDI/SIQual system Centralized management and control High level of integration with other information systems High level of standardization Thesaura Standard quality indicators Free-text areas for descriptions Limited burden for survey managers Supported by an articulate quality pilots net
10 SIDI Standard Quality Indicators Groups of indicators Coverage Unit nonresponse Revision Coding Editing and Imputation (overall and for variable) Timeliness and Punctuality Costs Coherence (between sources, provisional vs. definitive) Comparability (length of the series of data)
11 SIDI Standard Quality Indicators Process-oriented SQI Indirect measures of Accuracy - frame errors - nonresponse - coding - editing and imputation Information on survey costs Product-oriented SQI A set of SQI for each subcomponent Harmonised with Eurostat SQI Revision Timeliness and punctuality Comparability Coherence A set of SQI for each subcomponent Harmonised with Eurostat SQI
12 GSBPM GSBPM and SIDI/SIQual ISTAT SIDI/SIQual 1. Specify needs 2. Design 3. Build 4. Collect Planning Frame Development Re-planning Data Collection Data Pre-processing 5. Process Editing and Imputation Data Processing 6. Analyse Data Validation Statistical Disclosure Control 7. Disseminate Dissemination Data Storage Documentation 8. Evaluate Evaluating Quality Control Actions
13 SIDI/SIQual: Main development steps Metadata management system release (direct surveys): November 2001 Indicators management release, first navigation system (SIDI-Top) and definition of a strategy for implementation: June 2002 Use of the system to produce Methodological Notes of the Statistical Yearbook and generalization to statistical compilations: Systematic storing of quality indicators: since 2005 First release of SIQual: January 2006 (Intranet and Internet) Translation into English: 2008 External evaluation from colleagues of other NSIs: 2009 Support to data wharehouse of dissemination (I.Stat): 2010 Project on quality reporting, production of quality reports:
14 Main users and uses of SIDI/SIQual Survey manager process and quality monitoring standard quality documentation External users documentation for supporting data dissemination Top management & Quality Structure aggregated quality reporting support for statistical auditing and self-assessment procedures targeted analyses, e.g. evaluations of innovation effects, quality comparisons among processes sharing similar characteristics,. queries to respond to ESS consultations
15 The SIDI system: organisation Net of quality pilots at survey level quality pilots are trained on quality and documentation of metadata and evaluation of SQI formally appointed one edition of training course every year more than 150 quality pilots trained so far Referee at directorate/division level working group coordinated centrally collect internal users needs coordinate the work of the quality pilots Increased awareness of quality problems Increased quality culture
16 SIDI/SIQual: State of the art (06/2014) Metadata 248 direct surveys, out of them 165 are «active» 126 statistical compilations, out of them 94 are «active» 5 active statistical information systems 14 other types of statistical processes (ad hoc modules, pilot surveys ) online Quality Indicators: % of completeness for group Timeliness 100 % Coverage and nonresponse 92 % Comparability 76 % Editing and imputation 67 % Coherence provisional/final 19 % Coherence with other sources 17 % Revision 7 %
17 SIDI/SIQual: Quality indicators
18 SIDI/SIQual: Indicators on Coverage
19 SIDI/SIQual: Trend over time of Unit Response Rate
20 SIDI/SIQual: Editing and imputation indicators
21 SIDI/SIQual: Trend over time of Timeliness
22 SIDI/SIQual: Comparing indicators across surveys
23 SIDI/SIQual: Quality reporting (survey level) Process quality reports derived from standard documentation Product quality reports, developed according to Eurostat quality dimensions
24 Ongoing and next SIDI/SIQual developments Development of ESS harmonised and technically compliant quality reporting based on SIDI/SIQual Fully integration with the structural metadata component (SUM) Development of short methodological notes for users (Quality at a glance) Increase of the level of integration of methodology documentation with process activity Increase of flexibility for documenting processes combining different sources and methods
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