Automated cleansing and harmonization of international trade data

Large volumes of data are becoming increasingly available and can be very valuable for the analysis of different phenomena. These data can originate from multiple sources and be recorded in diverse formats, requiring preliminary scrutiny in order to be further used in scientific analyses. This first...

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Autores principales:	Sandra Oliveira, César Capinha, Jorge Rocha
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Automated screening Data harmonization Time-series analysis R software Science Q
Acceso en línea:	https://doaj.org/article/067251aaedcd4829a492d9659cffeddf
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spelling	oai:doaj.org-article:067251aaedcd4829a492d9659cffeddf2021-11-10T04:27:42ZAutomated cleansing and harmonization of international trade data2215-016110.1016/j.mex.2021.101567https://doaj.org/article/067251aaedcd4829a492d9659cffeddf2021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2215016121003575https://doaj.org/toc/2215-0161Large volumes of data are becoming increasingly available and can be very valuable for the analysis of different phenomena. These data can originate from multiple sources and be recorded in diverse formats, requiring preliminary scrutiny in order to be further used in scientific analyses. This first crucial phase of filtering and cleansing data is usually a cumbersome and time-consuming task, but automated routines can be developed to help researchers. A routine created with the R language is here presented, to screen, harmonize and aggregate international trade data, representing the trade flows between countries for specific products, in a timeframe that covers monthly flows for at least 15 years for most countries. The R script implementing these routines is provided, being easily adapted to other datasets with similar issues.• A step-by-step procedure for cleansing and harmonizing international trade data, using R programming language, is presented• Automated routines are very effective in obtaining robust and filtered data inputs to integrate in scientific models• Spatial and temporal patterns of worldwide trade relations can be explored to enhance our understanding of various associated phenomenaSandra OliveiraCésar CapinhaJorge RochaElsevierarticleAutomated screeningData harmonizationTime-series analysisR softwareScienceQENMethodsX, Vol 8, Iss , Pp 101567- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Automated screening Data harmonization Time-series analysis R software Science Q
spellingShingle	Automated screening Data harmonization Time-series analysis R software Science Q Sandra Oliveira César Capinha Jorge Rocha Automated cleansing and harmonization of international trade data
description	Large volumes of data are becoming increasingly available and can be very valuable for the analysis of different phenomena. These data can originate from multiple sources and be recorded in diverse formats, requiring preliminary scrutiny in order to be further used in scientific analyses. This first crucial phase of filtering and cleansing data is usually a cumbersome and time-consuming task, but automated routines can be developed to help researchers. A routine created with the R language is here presented, to screen, harmonize and aggregate international trade data, representing the trade flows between countries for specific products, in a timeframe that covers monthly flows for at least 15 years for most countries. The R script implementing these routines is provided, being easily adapted to other datasets with similar issues.• A step-by-step procedure for cleansing and harmonizing international trade data, using R programming language, is presented• Automated routines are very effective in obtaining robust and filtered data inputs to integrate in scientific models• Spatial and temporal patterns of worldwide trade relations can be explored to enhance our understanding of various associated phenomena
format	article
author	Sandra Oliveira César Capinha Jorge Rocha
author_facet	Sandra Oliveira César Capinha Jorge Rocha
author_sort	Sandra Oliveira
title	Automated cleansing and harmonization of international trade data
title_short	Automated cleansing and harmonization of international trade data
title_full	Automated cleansing and harmonization of international trade data
title_fullStr	Automated cleansing and harmonization of international trade data
title_full_unstemmed	Automated cleansing and harmonization of international trade data
title_sort	automated cleansing and harmonization of international trade data
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/067251aaedcd4829a492d9659cffeddf
work_keys_str_mv	AT sandraoliveira automatedcleansingandharmonizationofinternationaltradedata AT cesarcapinha automatedcleansingandharmonizationofinternationaltradedata AT jorgerocha automatedcleansingandharmonizationofinternationaltradedata
_version_	1718440621572620288

Automated cleansing and harmonization of international trade data

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