1 / 24

Implementation of Metainformation System in the Czech Statistical Office

Implementation of Metainformation System in the Czech Statistical Office. International conference STATISTICS - Investment in the Future 2 Prague, 14 – 1 5 September 2009 Ebbo Petrikovits ebbo.petrikovits@czso.cz Petr Eli áš petr.elias@czso.cz

posy
Download Presentation

Implementation of Metainformation System in the Czech Statistical Office

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Implementation of Metainformation System in the Czech Statistical Office International conferenceSTATISTICS - Investment in the Future 2Prague, 14 –15 September 2009 Ebbo Petrikovitsebbo.petrikovits@czso.cz Petr Eliáš petr.elias@czso.cz Miroslava Brchaňová miroslava.brchanova@czso.cz 1

  2. Background • SMS launched in February 2005 • SMS an integral part of the project Redesign of SIS • Redesign SIS the highest priority the CZSO • SMS the highest priority as well 2

  3. Statistical Metainformation System(SMS) Methodology, Management Respondents Ministries of state statistical service Statistical Classifications (SMS-KLAS) S-MD, Methodology, IT Management, Info services, E-presentation End users, Respondents Users End users SMS Management, Info services, E-presentation Statistical Variables (SMS-UKAZ) Dissemination S-MD, Methodology End users End users, Respondents S-MD, Methodology, IT Data Fund End users Statistical Tasks (SMS-ULOHY) S-MD, Methodology, IT S-MD, Methodology, IT Time Series End users, Respondents End users S-MD, Methodology, IT Basic info on SIS End users, Respondents 3

  4. SMS-KLAS SMS-UKAZ SMS-ULOHY DWH Development of the subsystems 1st external supplier TF 2006 project – 2nd supplier (under the TF 2006 Project) 4

  5. TF2006 Project • Main goals • Develop and implement SMS-ULOHY using SMS-KLAS and SMS-UKAZ • Develop and implement DWH using SMS • SMS Portal 5

  6. SMS Users • Internal users: • statisticians • methodologists • SMS administrators • developers of statistical applications • External users 6

  7. SMS-KLAS) Main goals: • Operational running from July 2009 • What was done: • establishing catalogues • loading classifications including linkages between classification items ( ~ 1500 linear classifications [code- lists] and 20 hierarchical classifications) • removal of redundancies between code-lists • set up administration • Inspired by Neuchâtel Classification Model 7

  8. SMS-UKAZ • Main goals: • standard model for definition of statistical variable (STAT-VAR) • model used for definition of STA-VAR in all phases of statistical business process 8

  9. Basic Info • identifier • short name • full name SMS-UKAZModel of statistical variable • Elementary variables • concept • function • MU category • S-M breaks down • Texts • synonyms • definitions • generated name • comment STAT_VAR • Attributes • creator of STAT_VAR • methodologist • principal domain • data type • ……. 9

  10. SMS-UKAZ • Who participates in descriptions: • statisticians describe STAT_VAR • methodologists ensure methodological consistency SMS-UKAZ already proved to be a highly efficient tool for statistical methodology 10

  11. SMS-UKAZ • Process of initial loading • State of art • Annual Labour Statistics - cca 200 STAT_VARs • SBS and STS – cca 1900 input STAT_VARs • Population census 2011 and demography under preparation - cca 200 STAT_VARs • National account output STAT_VARs – initial steps • Time schedule for years 2010-2011 11

  12. SMS-ULOHY • Main goals: • Tool for statisticians when specifying statistical tasks (in formalized and structural form) • history of changes • Increasing role of the methodology during the task specification process • SMS driven statistical production 12

  13. SMS-ULOHY • What is described: • establishing the statistical task • needed STAT_VARs • questionnaires • response duty (sample specifications) • administrative data files • data validation rules • quality attributes • outputs (tables, reports) • time-tables • modules and production steps 13

  14. SMS Portal(Introduction) • Main goals • internet presentation of the SMS • first version – only SMS-KLAS and SMS-UKAZ in Czech version • Next steps • SMS-ULOHY • English version • SMS Portal benefited from Norwegian experience 14

  15. Main features of the SMS Portal • Accessibility • User friendliness • Uniformity • Up-to-date information • For all users 15

  16. SMS Portal 1. Classifications and code lists (SMS-KLAS) 2. Statistical variables (SMS-UKAZ) 3. Future development 16

  17. Catalogue of classifications Abbreviation ↓Name ↓Version ↓ Validity ↓ Family ↓Additional info ↓Download ↓ 17

  18. Classifications • Available information about classifications • Structure • List of items • Additional information • Down load 18

  19. Info about one item ← Level ←Code ←Name of an item ← Attributes ↓Linkages 19

  20. Code lists – the same philosophy • Menu and options • Table format • Searches Slight differences: • Identification • History recording 21

  21. STAT_VAR - search ← by Alphabet ← by Full-text ← by a Topic 22

  22. Info about one STAT_VAR ← Full name ← Code ← Definition ← Synonyms ← Attributes 23

  23. Next steps • SMS-KLAS and SMS-UKAZ • Downloads and prints • Advanced search • English version • SMS-ULOHY • Development • Czech and English version 24

  24. Thank you for your attention 25

More Related