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Case Studies: Statistics Canada (WP 11) Alice Born Statistics UNECE Workshop on Statistical Metadata.

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Presentation on theme: "Case Studies: Statistics Canada (WP 11) Alice Born Statistics UNECE Workshop on Statistical Metadata."— Presentation transcript:

1 Case Studies: Statistics Canada (WP 11) Alice Born alice.born@statcan.ca Statistics Canadaalice.born@statcan.ca UNECE Workshop on Statistical Metadata July 4 to 6, 2007

2 Outline 1.Overview 2.Statistical metadata systems and the statistical cycle 3.Statistical metadata in each phase of the statistical cycle 4.Systems and design issues 5.Organizational and cultural issues

3 Overview of Integrated Metadatabase (IMDB) To support interpretation of the data – dissemination phase Responsibility of Standards Division (metadata, classifications and standard definitions) Adherence to Policy on Informing Users on Data Quality and Methodology, Policy on Standards and Quality Assurance Framework In general, metadata goes back November 2001

4 Overview of Integrated Metadatabase (IMDB) Contains metadata on 350 active and 250 inactive surveys and statistical programs –Purpose –Methodology used to produce the data –Measures of data accuracy –Variables, classifications for the data –Location of clean master datafile –Contacts Survey managers cannot release data without the prescribed metadata – mandatory

5 Overview of Integrated Metadatabase (IMDB) Next priorities: Complete documentation of variables Complete questionnaire model determine metadata for archived datafiles – may require additional metadata Lessons learned: Opportunities in collecting metadata in the first phase of the statistical cycle – not at the time of dissemination

6 Statistical metadata systems and the statistical cycle Relationship with survey planning and design phase IMDB expanded its role as part of the Household Survey Content Harmonization Standardize concepts, questions, question blocks across household surveys Variables follow the ISO-IEC 11179 Questions and question blocks, associated response choices linked to variables and classifications are stored in the IMDB at the beginning Survey Specification Manager pulls metadata from the IMDB but contains specifications and code

7 Statistical metadata systems and the statistical cycle Relationship to dissemination systems Metadata for information modules on the STC website – mandatory Information for survey respondents – requires metadata prior to release of data Data Liberation Initiative – public-use microdata files documented in DDI Metadata to support data exchange – SDMX, DDI, XBRL, Wiki, HTML, etc….

8 Statistical metadata systems and the statistical cycle Relationship to aggregation - analysis phase Analytical datawarehouses use IMDB to organize their tables (variables and classifications) Relationship to archive phase IMDB contains location of master datafile, record layout, contact information Currently developing business rules for archived datafiles

9 Statistical metadata systems and the statistical cycle Relationship with management systems Software Register – registry of Agency’s software and applications organized by survey and statistical program – IMDB is the inventory Quality management assessment and questionnaire – based on inventory of surveys in the IMDB; reuse of existing metadata

10 Operations Management Quality Assurance AnalysisDissemination CollectEditEstimateTabulatePublish Operational Data Registers Survey Data Administrative Data Data Warehouses Operational Data Stores IMDB in the survey life cycle Design Metadata IMDB Archive IMDB

11 Statistical metadata for phases in the statistical cycle Metadata describing statistical business processes –Data dissemination for interpretation of data –IMDB serves as the corporate inventory of all surveys and statistical programs, questionnaires, master datafiles –metadata or paradata resides in other metainformation systems – SSM, IQMS

12 Statistical metadata for phases in the statistical cycle Metadata for data elements –Supports: Survey planning and design; Analysis; Dissemination; Archiving –Metadata objects tracked over time for changes (versioning) and validity (registration) –Output to online data tables and STC products –For discovery – inventory of DE on STC website and STCWiki (internal review before going public) –Links to questions, question blocks, datafiles

13 STCWiki – Type of marital status of person

14 Statistical metadata for phases in the statistical cycle Metadata for survey planning and design –Questions, standard questions blocks and standard response choices in IMDB –Mapped to value domains, data elements and surveys in the IMDB –These metadata assembled into collection instruments in other metainformation systems outside the IMDB

15 Systems and design issues IMDB started in 1998 –Phase 1 Consolidation of existing metadata stores –Phase 2 Metadata describing statistical business processes –Phase 3 Metadata for data elements, etc. MetaStat system – Statistical activity, survey, instance, frame, universe, instrument, datafiles, survey methodology, documentation, data accuracy MetaWeb system – object class, property, data element, value domain, question, response choices, question block, value meaning manager

16 Phase 2 Input Screens Text strings related to data components Directives Resource Bundle Key Value SurveySDDS Statistical Data Doc… …... Labels Resource Bundle KeyValue SurveySDDS SDDS …... IMDB database

17 Phase 2 Input Screen Administered Item

18 Phase 2 - Identification Tab

19 Systems and design issues Dissemination and information discovery systems Web publication from IMDB is through HTML, dynamically generated with Perl scripts Conforms to government standards – CLF Survey-centric view and developing DE-centric view Discovery from Wiki solution – non-linear view of Phase 2 and 3 metadata Allows users to view links among administered items in the IMDB

20 Organizational and cultural issues Information management Assist in harmonization / usage of standards Knowledge sharing Corporate memory Reuse of our metainformation assets

21 Knowledge Sharing/Corporate Memory Survey Life Cycle IMDB CollectEditEstimateTabulatePublishDesign Survey Universe Frame Instance Collection Instrument Methodology Data Files Enterprise Architecture Concepts (Object Class, Property, Data Element Concept) Data Elements Questions Questions Blocks Classifications (Conceptual Domain Value Domain)

22 Corporate Memory Data Files IMDB Operational Data Registers Survey Data Administrative Data Operational Data Stores Clean Master File Public Use Master File Archival information Archived Data

23 IMDB Reuse of Information Assets Information Discovery/Dissemination Wiki HTML SDMX DDI ? One meta data source many uses for the information many output formats

24 Reuse of Information Assets Applications Development IMDB Classification coding Collection instrument development Publishing Other applications

25 Reuse of Information Assets Integration with Data IMDB Data Warehouses CANSIM

26 Organizational and cultural issues STC is one of the most integrated statistical systems in the world As part of its Enterprise Architecture strategy – moving towards centralized and generalized systems, including the IMDB IMDB was built initially to support interpretation of disseminated data Pressure is to provide metadata up (and down) the statistical value chain and into management systems Opportunities at the Survey planning and design phase – reuse of existing metadata (variables, classifications, questions, etc) registered in the IMDB – coherence


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