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Harmonized structural metadata for faster and more coherent output

Learn the benefits of harmonization in metadata management for improved output. See how harmonized metadata makes data more accessible, understand its importance, challenges, and benefits not just for users but also in data preparation. Explore harmonization efforts in Statistics Estonia.

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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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