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Harmonized structural metadata for faster and more coherent output

Harmonized structural metadata for faster and more coherent output. Content. H armonized structural metadata The benefits of harmonization Metadata management in Statistics Estonia O utput team H armoniz ation of metadata in Statistics Estonia. H armonized structural metadata I.

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Harmonized structural metadata for faster and more coherent output

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  1. Harmonized structural metadata for faster and more coherent output Piret Piiroja Tuuli Mei

  2. Content • Harmonized structural metadata • The benefits of harmonization • Metadata management in Statistics Estonia • Output team • Harmonization of metadata in Statistics Estonia

  3. Harmonized structural metadata I • Metadatabecomesincreasinglyimportant in finding relevant and reliableinformation • Some ways to makeinformation easier to access and understand are • different dissemination channels • better visualization techniques • harmonized metadata

  4. Harmonizedstructuralmetadata II • Metadatahelps to make sense of the large amount of information and data • Tofacilitateunderstanding of thedata, metadatashouldbe: • harmonized within one agency as well as between different agencies • clear and concise • Challenges • Sometimestheimportance of metadata is underestimated • Difficulties in comparing data and datasets

  5. The benefits of harmonization I • Gainfortheuser of statistics • Coherent output • Wideruse of standard code lists makesitmoreconvenient for the consumer to compare statistics published by different countries of the world

  6. The benefits of harmonization II • Benefits for the process of preparing output • Reducing the time and effort spent on the description of metadata • With DSD-s becoming available for additional domains the situation is improving and metadata harmonization is becoming easier

  7. Metadata management in Statistics Estonia Centralizedmetadatamanagemet Metadatateam 9 members: 2 workingwithvariables, 5 withclassifications, 2 withadministrativedata Outputteam 7 members: 5 R programmers, 2 metadataspecialists Metadataforthedatapublished and sent to International organisations Cubevariables Standard codelists Metadataforthedatacollected Register variables Classifications Administrativedata Closecooperationwiththestatisticians

  8. Producingoutputdatacubeswith R

  9. Output team Theroleof outputteam Harmonizing the metainformationthatisused in different datasets published by Statistics Estonia and implementing standard codelists

  10. Harmonization of metadata in Statistics Estonia • DSD (DataStructureDefinition) and SDMX standard whenever possible, also in Statistics Estonia database • National needs differ from international ones • Some of the harmonization takes place only within Statistics Estonia

  11. Challenges • Similarbut slightly differing code lists for national and international use • Code lists containing identical categories with different codes for the SDMX-compliant and non-SDMX-compliant code lists • Identical categories with different codes for data transmission and publication, etc.

  12. Harmonisedmetadatamakesfinding and comparinginformationeasier. Themorewidelyitisdonethegreaterthegainfortheuser and thestatisticsprofessionals.

  13. Thankyou!

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