An assessment of open data sets completeness

The rapid growth of open data sources is driven by free-of-charge contents and ease of accessibility. While it is convenient for public data consumers to use data sets extracted from open data sources, the decision to use these data sets should be based on data sets’ quality. Several data quality di...

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Main Authors:	Ali, Abdulrazzak, Asmai, Siti, Emran, Nurul Akmar, Ismail, Amelia Ritahani
Format:	Article
Language:	English English
Published:	2019
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/77296/ http://irep.iium.edu.my/77296/1/An%20Assessment%20of%20Open%20Data%20Sets%20Completeness.pdf http://irep.iium.edu.my/77296/7/77296_An%20assessment%20of%20open%20data%20sets%20completeness_Scopus.pdf

id	iium-77296
recordtype	eprints
spelling	iium-772962020-02-28T03:56:29Z http://irep.iium.edu.my/77296/ An assessment of open data sets completeness Ali, Abdulrazzak Asmai, Siti Emran, Nurul Akmar Ismail, Amelia Ritahani QA75 Electronic computers. Computer science The rapid growth of open data sources is driven by free-of-charge contents and ease of accessibility. While it is convenient for public data consumers to use data sets extracted from open data sources, the decision to use these data sets should be based on data sets’ quality. Several data quality dimensions such as completeness, accuracy, and timeliness are common requirements to make data ﬁt for use. More importantly, in many cases, high-quality data sets are desirable in ensuring reliable outcomes of reports and analytics. Even though many open data sources provide data quality guidelines, the responsibility to ensure data of high quality requires commitment from data contributors. In this paper, an initial investigation on the quality of open data sets in terms of completeness dimension was conducted. In particular, the results of the missing values in 20 open data sets measurement were extracted from the open data sources. The analysis covered all the missing values representations which are not limited to nulls or blank spaces. The results exhibited a range of missing values ratios that indicated the level of the data sets completeness. The limited coverage of this analysis does not hinder understanding of the current level of data completeness of open data sets. The ﬁndings may motivate open data providers to design initiatives that will empower data quality policy and guidelines for data contributors. In addition, this analysis may assist public data users to decide on the acceptability of open data sets by applying the simple methods proposed in this paper or performing data cleaning actions to improve the completeness of the data sets concerned. 2019 Article PeerReviewed application/pdf en http://irep.iium.edu.my/77296/1/An%20Assessment%20of%20Open%20Data%20Sets%20Completeness.pdf application/pdf en http://irep.iium.edu.my/77296/7/77296_An%20assessment%20of%20open%20data%20sets%20completeness_Scopus.pdf Ali, Abdulrazzak and Asmai, Siti and Emran, Nurul Akmar and Ismail, Amelia Ritahani (2019) An assessment of open data sets completeness. International Journal of Advanced Computer Science and Applications, 10 (6). pp. 557-562. ISSN 2158-107X E-ISSN 2156-5570
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Ali, Abdulrazzak Asmai, Siti Emran, Nurul Akmar Ismail, Amelia Ritahani An assessment of open data sets completeness
description	The rapid growth of open data sources is driven by free-of-charge contents and ease of accessibility. While it is convenient for public data consumers to use data sets extracted from open data sources, the decision to use these data sets should be based on data sets’ quality. Several data quality dimensions such as completeness, accuracy, and timeliness are common requirements to make data ﬁt for use. More importantly, in many cases, high-quality data sets are desirable in ensuring reliable outcomes of reports and analytics. Even though many open data sources provide data quality guidelines, the responsibility to ensure data of high quality requires commitment from data contributors. In this paper, an initial investigation on the quality of open data sets in terms of completeness dimension was conducted. In particular, the results of the missing values in 20 open data sets measurement were extracted from the open data sources. The analysis covered all the missing values representations which are not limited to nulls or blank spaces. The results exhibited a range of missing values ratios that indicated the level of the data sets completeness. The limited coverage of this analysis does not hinder understanding of the current level of data completeness of open data sets. The ﬁndings may motivate open data providers to design initiatives that will empower data quality policy and guidelines for data contributors. In addition, this analysis may assist public data users to decide on the acceptability of open data sets by applying the simple methods proposed in this paper or performing data cleaning actions to improve the completeness of the data sets concerned.
format	Article
author	Ali, Abdulrazzak Asmai, Siti Emran, Nurul Akmar Ismail, Amelia Ritahani
author_facet	Ali, Abdulrazzak Asmai, Siti Emran, Nurul Akmar Ismail, Amelia Ritahani
author_sort	Ali, Abdulrazzak
title	An assessment of open data sets completeness
title_short	An assessment of open data sets completeness
title_full	An assessment of open data sets completeness
title_fullStr	An assessment of open data sets completeness
title_full_unstemmed	An assessment of open data sets completeness
title_sort	assessment of open data sets completeness
publishDate	2019
url	http://irep.iium.edu.my/77296/ http://irep.iium.edu.my/77296/1/An%20Assessment%20of%20Open%20Data%20Sets%20Completeness.pdf http://irep.iium.edu.my/77296/7/77296_An%20assessment%20of%20open%20data%20sets%20completeness_Scopus.pdf
first_indexed	2023-09-18T21:49:02Z
last_indexed	2023-09-18T21:49:02Z
_version_	1777413644319981568

An assessment of open data sets completeness

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