<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

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

Journal of Official Statistics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

We propose to use the principles of functional modularity to cope with the essential complexity of statistical production processes. Moving up in the direction...

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

Pubblicato online: 14 dic 2018

Pagine: 811 - 833

Ricevuto: 01 giu 2017

Accettato: 01 giu 2018

DOI: https://doi.org/10.2478/jos-2018-0041

Parole chiave
Production architecture, key-value pair data model, standardisation functional modularity, process design

© 2018 David Salgado et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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

Pubblicato online: 14 dic 2018

Pagine: 811 - 833

Ricevuto: 01 giu 2017

Accettato: 01 giu 2018

DOI: https://doi.org/10.2478/jos-2018-0041

Parole chiaveProduction architecture, key-value pair data model, standardisation functional modularity, process design

© 2018 David Salgado et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Parole chiave
Production architecture, key-value pair data model, standardisation functional modularity, process design