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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8208539/ https://www.ncbi.nlm.nih.gov/pubmed/34133458 http://dx.doi.org/10.1371/journal.pone.0252843 |
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author | Kolpashnikova, Kamila Flood, Sarah Sullivan, Oriel Sayer, Liana Hertog, Ekaterina Zhou, Muzhi Kan, Man-Yee Suh, Jooyeoun Gershuny, Jonathan |
author_facet | Kolpashnikova, Kamila Flood, Sarah Sullivan, Oriel Sayer, Liana Hertog, Ekaterina Zhou, Muzhi Kan, Man-Yee Suh, Jooyeoun Gershuny, Jonathan |
author_sort | Kolpashnikova, Kamila |
collection | PubMed |
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 | Online Article Text |
id | pubmed-8208539 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-82085392021-06-29 Exploring daily time-use patterns: ATUS-X data extractor and online diary visualization tool Kolpashnikova, Kamila Flood, Sarah Sullivan, Oriel Sayer, Liana Hertog, Ekaterina Zhou, Muzhi Kan, Man-Yee Suh, Jooyeoun Gershuny, Jonathan PLoS One Research Article 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. Public Library of Science 2021-06-16 /pmc/articles/PMC8208539/ /pubmed/34133458 http://dx.doi.org/10.1371/journal.pone.0252843 Text en © 2021 Kolpashnikova et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Kolpashnikova, Kamila Flood, Sarah Sullivan, Oriel Sayer, Liana Hertog, Ekaterina Zhou, Muzhi Kan, Man-Yee Suh, Jooyeoun Gershuny, Jonathan Exploring daily time-use patterns: ATUS-X data extractor and online diary visualization tool |
title | 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_short | 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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8208539/ https://www.ncbi.nlm.nih.gov/pubmed/34133458 http://dx.doi.org/10.1371/journal.pone.0252843 |
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