Statistical Data Processing with R – Metadata Driven Approach

Rudi Seljak and Jerneja Pikelj
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Rudi Seljak: Statistical Office of the Republic of Slovenia
Jerneja Pikelj: Statistical Office of the Republic of Slovenia

Romanian Statistical Review, 2016, vol. 64, issue 2, 71-78

Abstract: In recent years the Statistical Office of the Republic of Slovenia has put a lot of effort into re-designing its statistical process. We replaced the classical stove-pipe oriented production system with general software solutions, based on the metadata driven approach. This means that one general program code, which is parametrized with process metadata, is used for data processing for a particular survey. Currently, the general program code is entirely based on SAS macros, but in the future we would like to explore how successfully statistical software R can be used for this approach.Paper describes the metadata driven principle for data validation, generic software solution and main issues connected with the use of statistical software R for this approach.

Keywords: Statistical software R; metadata driven systems; data validation (search for similar items in EconPapers)
JEL-codes: C10 C18 C80 C88 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)

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