Assessment Formation of Open Data Sources During Their Aggregation For Analyzing Road Accidents

Analyzing data in a smart city often requires aggregating a large number of heterogeneous sources into a single system. For the selection of sources, it is necessary to first assess each source. This will provide informed data choices and improve the quality of decision making. The paper proposes a...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Sergey Savosin, Nikolay Teslya, Sergei Mikhailov
Formato:	article
Lenguaje:	EN
Publicado:	FRUCT 2021
Materias:	data quality data source quality data aggregation smart city analysis road accidents Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/90e59565fe6e480395b936d527ad6e7d
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:90e59565fe6e480395b936d527ad6e7d
record_format	dspace
spelling	oai:doaj.org-article:90e59565fe6e480395b936d527ad6e7d2021-11-20T15:59:33ZAssessment Formation of Open Data Sources During Their Aggregation For Analyzing Road Accidents2305-72542343-073710.23919/FRUCT53335.2021.9599968https://doaj.org/article/90e59565fe6e480395b936d527ad6e7d2021-10-01T00:00:00Zhttps://www.fruct.org/publications/fruct30/files/Sav.pdfhttps://doaj.org/toc/2305-7254https://doaj.org/toc/2343-0737Analyzing data in a smart city often requires aggregating a large number of heterogeneous sources into a single system. For the selection of sources, it is necessary to first assess each source. This will provide informed data choices and improve the quality of decision making. The paper proposes a formalization of criteria for evaluating data and a method for evaluating a source based on the use of the proposed criteria. The performance of the method was evaluated by analyzing data on road accidents in St. Petersburg, Russia. Based on the analysis results, three data sources were selected, for which the analysis was carried out and the results were visualized.Sergey SavosinNikolay TeslyaSergei MikhailovFRUCTarticledata qualitydata source qualitydata aggregationsmart cityanalysisroad accidentsTelecommunicationTK5101-6720ENProceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 30, Iss 1, Pp 239-245 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	data quality data source quality data aggregation smart city analysis road accidents Telecommunication TK5101-6720
spellingShingle	data quality data source quality data aggregation smart city analysis road accidents Telecommunication TK5101-6720 Sergey Savosin Nikolay Teslya Sergei Mikhailov Assessment Formation of Open Data Sources During Their Aggregation For Analyzing Road Accidents
description	Analyzing data in a smart city often requires aggregating a large number of heterogeneous sources into a single system. For the selection of sources, it is necessary to first assess each source. This will provide informed data choices and improve the quality of decision making. The paper proposes a formalization of criteria for evaluating data and a method for evaluating a source based on the use of the proposed criteria. The performance of the method was evaluated by analyzing data on road accidents in St. Petersburg, Russia. Based on the analysis results, three data sources were selected, for which the analysis was carried out and the results were visualized.
format	article
author	Sergey Savosin Nikolay Teslya Sergei Mikhailov
author_facet	Sergey Savosin Nikolay Teslya Sergei Mikhailov
author_sort	Sergey Savosin
title	Assessment Formation of Open Data Sources During Their Aggregation For Analyzing Road Accidents
title_short	Assessment Formation of Open Data Sources During Their Aggregation For Analyzing Road Accidents
title_full	Assessment Formation of Open Data Sources During Their Aggregation For Analyzing Road Accidents
title_fullStr	Assessment Formation of Open Data Sources During Their Aggregation For Analyzing Road Accidents
title_full_unstemmed	Assessment Formation of Open Data Sources During Their Aggregation For Analyzing Road Accidents
title_sort	assessment formation of open data sources during their aggregation for analyzing road accidents
publisher	FRUCT
publishDate	2021
url	https://doaj.org/article/90e59565fe6e480395b936d527ad6e7d
work_keys_str_mv	AT sergeysavosin assessmentformationofopendatasourcesduringtheiraggregationforanalyzingroadaccidents AT nikolayteslya assessmentformationofopendatasourcesduringtheiraggregationforanalyzingroadaccidents AT sergeimikhailov assessmentformationofopendatasourcesduringtheiraggregationforanalyzingroadaccidents
_version_	1718419437810352128

Assessment Formation of Open Data Sources During Their Aggregation For Analyzing Road Accidents

Ejemplares similares