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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Format: | Article |
Language: | English |
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FRUCT
2021-10-01
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Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
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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. |
first_indexed | 2024-12-20T03:29:16Z |
format | Article |
id | doaj.art-90e59565fe6e480395b936d527ad6e7d |
institution | Directory Open Access Journal |
issn | 2305-7254 2343-0737 |
language | English |
last_indexed | 2024-12-20T03:29:16Z |
publishDate | 2021-10-01 |
publisher | FRUCT |
record_format | Article |
series | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
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 |