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Survey of public data sources on the Internet usage and other Internet statistics

Murooj Nadhom, Pavel Loskot Orcid Logo

Data in Brief, Volume: 18, Pages: 1914 - 1929

Swansea University Author: Pavel Loskot Orcid Logo

Abstract

The Internet research is mainly driven by data. Obtaining such data by planning and launching measurement campaigns is rather time consuming and costly. Much more efficient, and in many cases, sufficient data acquisition strategy is to exploit the existing datasets available in public databases, rep...

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Published in: Data in Brief
ISSN: 23523409
Published: 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa40045
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first_indexed 2018-05-09T13:51:08Z
last_indexed 2018-08-06T12:52:04Z
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spelling 2018-08-06T10:35:59.0239621 v2 40045 2018-05-09 Survey of public data sources on the Internet usage and other Internet statistics bc7cba9ef306864239b9348c3aea4c3e 0000-0002-2773-2186 Pavel Loskot Pavel Loskot true false 2018-05-09 EEN The Internet research is mainly driven by data. Obtaining such data by planning and launching measurement campaigns is rather time consuming and costly. Much more efficient, and in many cases, sufficient data acquisition strategy is to exploit the existing datasets available in public databases, repositories, and documents. Hence, the public data sources related to the Internet usage and other Internet statistics are systematically surveyed and categorized to make the search for the Internet data much easier and faster. Extensive online searches and exploring websites of the key organizations were used to identify the data sources. Each data source was then carefully explored to describe its characteristics and contents. The data are usually aggregated over certain time periods and regions, and often indexed by age, gender, application, website, activity and other attributes. Some data sources also support various data visualization options, and offer data export in multiple formats. Journal Article Data in Brief 18 1914 1929 23523409 31 12 2018 2018-12-31 10.1016/j.dib.2018.04.107 COLLEGE NANME Engineering COLLEGE CODE EEN Swansea University 2018-08-06T10:35:59.0239621 2018-05-09T10:53:42.5744808 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Murooj Nadhom 1 Pavel Loskot 0000-0002-2773-2186 2 0040045-06082018103309.pdf NadhomSurveyOfPublicDataSources2018.pdf 2018-08-06T10:33:09.2000000 Output 794571 application/pdf Version of Record true 2018-08-06T00:00:00.0000000 Published under CC BY 4.0 license. true eng
title Survey of public data sources on the Internet usage and other Internet statistics
spellingShingle Survey of public data sources on the Internet usage and other Internet statistics
Pavel Loskot
title_short Survey of public data sources on the Internet usage and other Internet statistics
title_full Survey of public data sources on the Internet usage and other Internet statistics
title_fullStr Survey of public data sources on the Internet usage and other Internet statistics
title_full_unstemmed Survey of public data sources on the Internet usage and other Internet statistics
title_sort Survey of public data sources on the Internet usage and other Internet statistics
author_id_str_mv bc7cba9ef306864239b9348c3aea4c3e
author_id_fullname_str_mv bc7cba9ef306864239b9348c3aea4c3e_***_Pavel Loskot
author Pavel Loskot
author2 Murooj Nadhom
Pavel Loskot
format Journal article
container_title Data in Brief
container_volume 18
container_start_page 1914
publishDate 2018
institution Swansea University
issn 23523409
doi_str_mv 10.1016/j.dib.2018.04.107
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
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description The Internet research is mainly driven by data. Obtaining such data by planning and launching measurement campaigns is rather time consuming and costly. Much more efficient, and in many cases, sufficient data acquisition strategy is to exploit the existing datasets available in public databases, repositories, and documents. Hence, the public data sources related to the Internet usage and other Internet statistics are systematically surveyed and categorized to make the search for the Internet data much easier and faster. Extensive online searches and exploring websites of the key organizations were used to identify the data sources. Each data source was then carefully explored to describe its characteristics and contents. The data are usually aggregated over certain time periods and regions, and often indexed by age, gender, application, website, activity and other attributes. Some data sources also support various data visualization options, and offer data export in multiple formats.
published_date 2018-12-31T03:50:56Z
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