Exploring daily time-use patterns: ATUS-X data extractor and online diary visualization tool.

Time-use data can often be perceived as inaccessible by non-specialists due to their unique format. This article introduces the ATUS-X diary visualization tool that aims to address the accessibility issue and expand the user base of time-use data by providing users with opportunity to quickly visual...

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Autores principales:	Kamila Kolpashnikova, Sarah Flood, Oriel Sullivan, Liana Sayer, Ekaterina Hertog, Muzhi Zhou, Man-Yee Kan, Jooyeoun Suh, Jonathan Gershuny
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9977e6e2d0334497b81fd169a329e6e5
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id	oai:doaj.org-article:9977e6e2d0334497b81fd169a329e6e5
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spelling	oai:doaj.org-article:9977e6e2d0334497b81fd169a329e6e52021-12-02T20:10:34ZExploring daily time-use patterns: ATUS-X data extractor and online diary visualization tool.1932-620310.1371/journal.pone.0252843https://doaj.org/article/9977e6e2d0334497b81fd169a329e6e52021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0252843https://doaj.org/toc/1932-6203Time-use data can often be perceived as inaccessible by non-specialists due to their unique format. This article introduces the ATUS-X diary visualization tool that aims to address the accessibility issue and expand the user base of time-use data by providing users with opportunity to quickly visualize their own subsamples of the American Time Use Survey Data Extractor (ATUS-X). Complementing the ATUS-X, the online tool provides an easy point-and-click interface, making data exploration readily accessible in a visual form. The tool can benefit a wider academic audience, policy-makers, non-academic researchers, and journalists by removing accessibility barriers to time use diaries.Kamila KolpashnikovaSarah FloodOriel SullivanLiana SayerEkaterina HertogMuzhi ZhouMan-Yee KanJooyeoun SuhJonathan GershunyPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0252843 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Kamila Kolpashnikova Sarah Flood Oriel Sullivan Liana Sayer Ekaterina Hertog Muzhi Zhou Man-Yee Kan Jooyeoun Suh Jonathan Gershuny Exploring daily time-use patterns: ATUS-X data extractor and online diary visualization tool.
description	Time-use data can often be perceived as inaccessible by non-specialists due to their unique format. This article introduces the ATUS-X diary visualization tool that aims to address the accessibility issue and expand the user base of time-use data by providing users with opportunity to quickly visualize their own subsamples of the American Time Use Survey Data Extractor (ATUS-X). Complementing the ATUS-X, the online tool provides an easy point-and-click interface, making data exploration readily accessible in a visual form. The tool can benefit a wider academic audience, policy-makers, non-academic researchers, and journalists by removing accessibility barriers to time use diaries.
format	article
author	Kamila Kolpashnikova Sarah Flood Oriel Sullivan Liana Sayer Ekaterina Hertog Muzhi Zhou Man-Yee Kan Jooyeoun Suh Jonathan Gershuny
author_facet	Kamila Kolpashnikova Sarah Flood Oriel Sullivan Liana Sayer Ekaterina Hertog Muzhi Zhou Man-Yee Kan Jooyeoun Suh Jonathan Gershuny
author_sort	Kamila Kolpashnikova
title	Exploring daily time-use patterns: ATUS-X data extractor and online diary visualization tool.
title_short	Exploring daily time-use patterns: ATUS-X data extractor and online diary visualization tool.
title_full	Exploring daily time-use patterns: ATUS-X data extractor and online diary visualization tool.
title_fullStr	Exploring daily time-use patterns: ATUS-X data extractor and online diary visualization tool.
title_full_unstemmed	Exploring daily time-use patterns: ATUS-X data extractor and online diary visualization tool.
title_sort	exploring daily time-use patterns: atus-x data extractor and online diary visualization tool.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/9977e6e2d0334497b81fd169a329e6e5
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Exploring daily time-use patterns: ATUS-X data extractor and online diary visualization tool.

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