CONCEPT HARMONISATION










Concept harmonisation: cross-domain

  • Currently harmonised with Eurobarometer.
  • Targeting SDMX-harmonized cross-domain concepts (time, frequency, age, occupation, etc.)

Concept harmonisation: domain-specific

☑️ Using the Cultural Access & Participation (and more general ICET model) and creating a lower-level breakdown of cross-domain variables whenever possible.
☑️ The quantification follows the ESSNet-Culture guidelines on measuring information, communication, enjoyment and transactions.
☑️ The most important domain-specific dimension is the occupation list qualified with high granularity to the music domain, which has been refined over eight years.

Concept harmonisation: grouping dimensions within the music

The dimensions are grouping or slicing variables (in the statistical datacube definition) for statistical aggregation. These are mainly the “cross-domain” concepts defined by the Statistical Data and Metadata Exchange (SDMX).

☑️ Geographical concepts (countries, NUTS regions and cities)
☑️ Age, Sex, and Gender)
☑️ Time concepts (frequency, period)

QUESTIONBANK
HARMONISATION










TRANSLATION HARMONISATION










CODEBOOK HARMONISATION










Multi-language questionbank for music

🖱️ Click to our blogpost to see the questionbank









OUTPUT HARMONISATION










SCIENTIFIC PRESENTATION

🖱️ Creating ex ante harmonised, multi-language surveys using DDI-compliant reproducible research tools in the R statistical environment













ESRA2023













Software: retroharmonize | statcodelists | dataset | DDIwR

Questionbank demo: blogpost | online version

Conference: program | registration

Data exchange: Digital Music Observatory | Cultural Creative Sectors Industries Observatory

Support: MusicAIRE

Questions?

🖱 Click the blue links | email | keybase

Sinus: James Edwards, PhD Reprex: Daniel Antal, CFA