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...

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Main Authors: Sergey Savosin, Nikolay Teslya, Sergei Mikhailov
Format: Article
Language:English
Published: FRUCT 2021-10-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
Online Access:https://www.fruct.org/publications/fruct30/files/Sav.pdf
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author Sergey Savosin
Nikolay Teslya
Sergei Mikhailov
author_facet Sergey Savosin
Nikolay Teslya
Sergei Mikhailov
author_sort Sergey Savosin
collection DOAJ
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.
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spelling doaj.art-90e59565fe6e480395b936d527ad6e7d2022-12-21T19:55:01ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372021-10-0130123924510.23919/FRUCT53335.2021.9599968Assessment Formation of Open Data Sources During Their Aggregation For Analyzing Road AccidentsSergey Savosin0Nikolay Teslya1Sergei Mikhailov2SPC RAS, RussiaSPC RAS, RussiaSPC RAS, RussiaAnalyzing 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.https://www.fruct.org/publications/fruct30/files/Sav.pdfdata qualitydata source qualitydata aggregationsmart cityanalysisroad accidents
spellingShingle Sergey Savosin
Nikolay Teslya
Sergei Mikhailov
Assessment Formation of Open Data Sources During Their Aggregation For Analyzing Road Accidents
Proceedings of the XXth Conference of Open Innovations Association FRUCT
data quality
data source quality
data aggregation
smart city
analysis
road accidents
title 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_short 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
topic data quality
data source quality
data aggregation
smart city
analysis
road accidents
url https://www.fruct.org/publications/fruct30/files/Sav.pdf
work_keys_str_mv AT sergeysavosin assessmentformationofopendatasourcesduringtheiraggregationforanalyzingroadaccidents
AT nikolayteslya assessmentformationofopendatasourcesduringtheiraggregationforanalyzingroadaccidents
AT sergeimikhailov assessmentformationofopendatasourcesduringtheiraggregationforanalyzingroadaccidents