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

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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Detalles Bibliográficos
Autores principales: Nadhom, Murooj, Loskot, Pavel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998297/
https://www.ncbi.nlm.nih.gov/pubmed/29904696
http://dx.doi.org/10.1016/j.dib.2018.04.107
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author Nadhom, Murooj
Loskot, Pavel
author_facet Nadhom, Murooj
Loskot, Pavel
author_sort Nadhom, Murooj
collection PubMed
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.
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spelling pubmed-59982972018-06-14 Survey of public data sources on the Internet usage and other Internet statistics Nadhom, Murooj Loskot, Pavel Data Brief Engineering    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. Elsevier 2018-05-09 /pmc/articles/PMC5998297/ /pubmed/29904696 http://dx.doi.org/10.1016/j.dib.2018.04.107 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Engineering   
Nadhom, Murooj
Loskot, Pavel
Survey of public data sources on the Internet usage and other Internet statistics
title 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_short 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
topic Engineering   
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998297/
https://www.ncbi.nlm.nih.gov/pubmed/29904696
http://dx.doi.org/10.1016/j.dib.2018.04.107
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