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M ETADATA OF NATIONAL STATISTICAL OFFICES B ELARUS, R USSIA AND K AZAKHSTAN Miroslava Brchanova, Moscow, October, 2014.

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Presentation on theme: "M ETADATA OF NATIONAL STATISTICAL OFFICES B ELARUS, R USSIA AND K AZAKHSTAN Miroslava Brchanova, Moscow, October, 2014."— Presentation transcript:

1 M ETADATA OF NATIONAL STATISTICAL OFFICES B ELARUS, R USSIA AND K AZAKHSTAN Miroslava Brchanova, Moscow, October, 2014

2 Metadata of national statistical offices 2 In fact, all national statistical offices (NSOs) all over the world are focused on presentations of reference metadata on their web sites. It is a logical process that reflects the need to explain what the content of the published data is. Less common is the use of structural metadata in the whole cycle of processing statistical data. Introduction

3 NATIONAL STATISTICAL COMMITTEE OF THE REPUBLIC OF BELARUS 3 Metadata of national statistical offices The NSO plans to use the GSBPM 5.0 to describe the existing statistical production processes. It started a pilot survey description in February 2014. However, metadata presented on the website of Belarus is of passive nature so far:  Information about the methodology of various statistics  Official classifications  Dates of data collection  Statistical questionnaires.

4 RUSSIAN FEDERATION FEDERAL STATE STATISTICS SERVICE (ROSSTAT) 1 4 Metadata of national statistical offices ROSSTAT has located a conception (for the years 2011 - 2017) of creation an integrated processing system based on a unified system metadata on its web site. The system should include:  Catalogue of statistical indicators  Uniform code lists and classifications. Indicators and code lists should be uniformly applied throughout the process of processing statistical data. The system should be based on the methodology and standards of SDMX system.

5 R USSIAN F EDERATION F EDERAL S TATE S TATISTICS S ERVICE 2 5 Metadata of national statistical offices There is an electronic catalogue of metadata on the web site of ROSSTAT so far. It contains a descriptive information of all input and output indicators of the Federal state statistics service. In addition, the site contains mainly passive metadata of:  Information about the methodology of various statistics  Official classifications  Dates of data collection  Statistical questionnaires. There is also a description of the SDDS standard methodology for data transmission the IMF on the web.

6 Metadata of national statistical offices 6 Inputs ? Metadata driven architecture Outputs Process Collect DisseminateAnalyse

7 7 Metadata of national statistical offices Statistical processes are driven by metadata. Necessary preconditions: ► High level of automation ► Metadata must be ready from the first stage of statistical data processing. Such architecture ensures „active“ up-to-date metadata. In such architecture metadata have to cover all statistical variables/indicators, not just outputs. M ETADATA DRIVEN ARCHITECTURE

8 Metadata of national statistical offices Source: http://www.unece.orghttp://www.unece.org G ENERIC S TATISTICAL B USINESS P ROCESS M ODEL 8

9 Metadata of national statistical offices 9 The NSO has realized several important implementations that may be considered as the best practices for other statistical offices. The achievements are:  System of dissemination of statistical data and metadata TALDAU  System of statistical metadata (classifications and nomenclatures)  Model of integrated data processing, storage and dissemination (actually in advanced phase of implementation). The Republic of Kazakhstan - Achievements

10 S YSTEM OF THE C OMMITTEE ON STATISTICS R EPUBLIC OF K AZAKHSTAN – IS “Metadata” 10 Metadata of national statistical offices IS “Metadata” goal is a technological support of processes, extension and adjustments, internal and external integration of the components IIS “e-statistics”. Tasks for the development of the IS “Metadata” are: ► To unify recording of metadata description ► To unify providing IS management ► To unify data and metadata exchange with users.

11 Metadata of national statistical offices 11 Collect Phase Process Phase Disseminat e Phase Service Meta-block Description of Forms Meta-block Data Collection Meta- block Register Meta-block Classifiers Meta-block Data Processing Meta-block Distributio n Meta- block Service Metadata IS “Metadata” IIS“e-statistics”

12 Metadata of national statistical offices 12 ??? ?Taldau Collect Phase Process Phase Disseminat e Phase GSBPM

13 Metadata of national statistical offices 13 GSBPM says that:  Good metadata management is essential for the efficient operation of statistical business processes.  Metadata have to be present in every phase.  The key challenge is to ensure that metadata are captured as early as possible, and stored and transferred from phase to phase alongside the data they refer to.

14 M ETADATA DRIVEN ARCHITECTURE - I NPUT 14 Metadata of national statistical offices The following processes of phase Design and phase Built are not/ not fully covered by IS „Metadata“ in the Kazakh NSO: ► Methodological preparation of survey ► Timetables ► Structure and design of questionnaires ► Sample frame and samples ► Metadata definition of data validation rules ► Metadata definition of self-corrections ► Programming specifications

15 15 Metadata of national statistical offices To add subsystems in to IS „Metadata“:  Users‘ requests  Quality. Users‘ requests application programme should be a place where: ► Internal and external users can describe their needs ► Methodologists and domain experts evaluate requests ► Reports for management. The sub-system should keep records of:  Decision  Reasoning  Further steps. System of the Republic of Kazakhstan – Goals 1

16 System of the Republic of Kazakhstan – Goals 2 16 Metadata of national statistical offices ► To improve cooperation of methodologists with the metadata experts, subject matter statisticians and computation centre. ► Methodologists should be trained on the topic of metadata. Round tables should be organized. ► Conditions for sampling must be developed. ► To implement a modular approach to questionnaires in order:  To reduce an administrative burden on respondents  To improve quality of statistical indicators  To improve consistency of statistical data  To publish statistical data for the general population.

17 Metadata of national statistical offices 17 The following activity is of strategic importance: Full transition from paper questionnaires to electronic (intelligent) questionnaires for respondents and interviewers. This task is the priority for the modernization of the statistical data collection.

18 System of the Republic of Kazakhstan – Goals 3 18 Metadata of national statistical offices In order to create a kind of quality map is necessary to create an application „Quality“ that allows to monitor and evaluate all stages of the data processing. The main stages of interest from this point of view are:  Specification requirements  Design  Data collection  The processing steps.

19 Metadata of national statistical offices 19 Quality management activities include:  To set and to maintain the quality framework  To set global quality criteria  To set process quality targets  To seek and to analyse users feedback  To review operation and document information  To examine process metadata and quality indicators  To check statistical processes. Quality

20 Metadata of national statistical offices 20 ► To make metadata active to the greatest extent possible from the very beginning. Active metadata are metadata that drive other processes and actions. ► To reuse metadata where possible from the very beginning for statistical integration as well as efficiency reasons. ► To preserve history (old versions) of metadata from the very beginning. ► To make metadata-related work an integral part of business processes across the organisation from the very beginning. CONCLUSIONS

21 Metadata of national statistical offices 21 Any questions? Abbreviations: SDMX – Statistical Data and Metadata Exchange SDDS – Special Data Dissemination Standard TALDAU – Information-analytical system IS – Information System IIS - Integrated Information System


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