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RSS/ASC meeting - Metadata: Models, Processes and Tools01-Nov-10Royal Statistical Society, London

The importance of metadata in statistics – that is, information about the origin and structure of specific datasets – has been accepted for many years, particularly in the context of data archiving and data exchange.

Many efforts have been made to create formal structures for statistical metadata, and these are now reaching some level of maturity. Of particular importance are two standards which are being explored or used extensively by survey and government statistical groups. These are:

  1. Data Documentation Initiative (DDI) Codebook, aimed primarily at the documentation of data from surveys, now at version 3, developed by academic survey groups and data archives
  2. Statistical Data and Metadata eXchange (SDMX ) standard, aimed at the interchange of aggregate statistical data, particularly by national and international statistical offices