Towards a Best Practice of Modeling Unit of Measure and Related Statistical Metadata

June 1, 2011

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Format: Chicago

Wilfried Grossmann, and Michaela Denk. Towards a Best Practice of Modeling Unit of Measure and Related Statistical Metadata, (USA: International Monetary Fund, 2011) accessed November 23, 2024

Disclaimer: This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate

Summary

Data and metadata exchange between organizations requires a common language for describing structure and content of statistical data and metadata. The SDMX consortium develops content oriented guidelines (COG) recommending harmonized cross-domain concepts and terminology to increase the efficiency of (meta-) data exchange. A recent challenge is a recommended code list for the unit of measure. Based on examples from SDMX sponsor organizations this paper analyses the diversity of "unit of measure" as used in practice, including potential breakdowns and interdependencies of the respective meta-information that go beyond the current SDMX COG recommendations and possible value domains for the identified components.

Subject: Currencies, Economic and financial statistics, Exchange rates, Expenditure, Foreign exchange, Money, Price adjustments, Prices, Public expenditure review

Keywords: Base value Unit multiplier, Code list, Currencies, Current price, Data dissemination and exchange, Data recipient, Data warehouse, Exchange rate, Exchange rates, Global, Information disaggregation, Metadata harmonization, Multiplier of the ratio, Price adjustments, Public expenditure review, SDMX, Unit information, Unit multiplier, Unit type, WP

Publication Details

Pages:

22
Volume:

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DOI:

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Issue:

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Series:

Working Paper No. 2011/152
Stock No:

WPIEA2011152
ISBN:

9781455271474
ISSN:

1018-5941

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