Data Organisation and Process Design Based on Functional Modularity for a Standard Production Process

Salgado David (), Esteban M. Elisa (), Novás Maria (), Saldaña Soledad () and Sanguiao Luis ()
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Salgado David: Spanish National Statistics Institute, Paseo de la Castellana 183, 28046Madrid, Spain.
Esteban M. Elisa: Spanish National Statistics Institute, Paseo de la Castellana 183, 28046Madrid, Spain.
Novás Maria: Spanish National Statistics Institute, Paseo de la Castellana 183, 28046Madrid, Spain.
Saldaña Soledad: Spanish National Statistics Institute, Paseo de la Castellana 183, 28046Madrid, Spain.
Sanguiao Luis: Spanish National Statistics Institute, Paseo de la Castellana 183, 28046Madrid, Spain.

Journal of Official Statistics, 2018, vol. 34, issue 4, 811-833

Abstract: We propose to use the principles of functional modularity to cope with the essential complexity of statistical production processes. Moving up in the direction of international statistical production standards (GSBPM and GSIM), data organisation and process design under a combination of object-oriented and functional computing paradigms are proposed. The former comprises a standardised key-value pair abstract data model where keys are constructed by means of the structural statistical metadata of the production system. The latter makes extensive use of the principles of functional modularity (modularity, data abstraction, hierarchy, and layering) to design production steps. We provide a proof of concept focusing on an optimisation approach to selective editing applied to real survey data in standard production conditions at the Spanish National Statistics Institute. Several R packages have been prototyped implementing these ideas. We also share diverse aspects arising from the practicalities of the implementation.

Keywords: Production architecture; key-value pair data model; standardisation functional modularity; process design (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:offsta:v:34:y:2018:i:4:p:811-833:n:2

DOI: 10.2478/jos-2018-0041

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