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Availability, access, analysis and dissemination of small-area data
In this era of ‘big data’, there is growing recognition of the value of environmental, health, social and demographic data for research. Open government data initiatives are growing in number and in terms of content. Remote sensing data are finding widespread use in environmental research, including...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7158061/ https://www.ncbi.nlm.nih.gov/pubmed/32293007 http://dx.doi.org/10.1093/ije/dyz051 |
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author | Hodgson, Susan Fecht, Daniela Gulliver, John Iyathooray Daby, Hima Piel, Frédéric B Yip, Fuyuen Strosnider, Heather Hansell, Anna Elliott, Paul |
author_facet | Hodgson, Susan Fecht, Daniela Gulliver, John Iyathooray Daby, Hima Piel, Frédéric B Yip, Fuyuen Strosnider, Heather Hansell, Anna Elliott, Paul |
author_sort | Hodgson, Susan |
collection | PubMed |
description | In this era of ‘big data’, there is growing recognition of the value of environmental, health, social and demographic data for research. Open government data initiatives are growing in number and in terms of content. Remote sensing data are finding widespread use in environmental research, including in low- and middle-income settings. While our ability to study environment and health associations across countries and continents grows, data protection rules and greater patient control over the use of their data present new challenges to using health data in research. Innovative tools that circumvent the need for the physical sharing of data by supporting non-disclosive sharing of information, or that permit spatial analysis without researchers needing access to underlying patient data can be used to support analyses while protecting data confidentiality. User-friendly visualizations, allowing small-area data to be seen and understood by non-expert audiences, are revolutionizing public and researcher interactions with data. The UK Small Area Health Statistics Unit’s Environment and Health Atlas for England and Wales, and the US National Environmental Public Health Tracking Network offer good examples. Open data facilitates user-generated outputs, and ‘mash-ups’, and user-generated inputs from social media, mobile devices and wearable tech are new data streams that will find utility in future studies, and bring novel dimensions with respect to ethical use of small-area data. |
format | Online Article Text |
id | pubmed-7158061 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-71580612020-04-21 Availability, access, analysis and dissemination of small-area data Hodgson, Susan Fecht, Daniela Gulliver, John Iyathooray Daby, Hima Piel, Frédéric B Yip, Fuyuen Strosnider, Heather Hansell, Anna Elliott, Paul Int J Epidemiol Supplement Articles In this era of ‘big data’, there is growing recognition of the value of environmental, health, social and demographic data for research. Open government data initiatives are growing in number and in terms of content. Remote sensing data are finding widespread use in environmental research, including in low- and middle-income settings. While our ability to study environment and health associations across countries and continents grows, data protection rules and greater patient control over the use of their data present new challenges to using health data in research. Innovative tools that circumvent the need for the physical sharing of data by supporting non-disclosive sharing of information, or that permit spatial analysis without researchers needing access to underlying patient data can be used to support analyses while protecting data confidentiality. User-friendly visualizations, allowing small-area data to be seen and understood by non-expert audiences, are revolutionizing public and researcher interactions with data. The UK Small Area Health Statistics Unit’s Environment and Health Atlas for England and Wales, and the US National Environmental Public Health Tracking Network offer good examples. Open data facilitates user-generated outputs, and ‘mash-ups’, and user-generated inputs from social media, mobile devices and wearable tech are new data streams that will find utility in future studies, and bring novel dimensions with respect to ethical use of small-area data. Oxford University Press 2020-04 2020-04-15 /pmc/articles/PMC7158061/ /pubmed/32293007 http://dx.doi.org/10.1093/ije/dyz051 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the International Epidemiological Association. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Supplement Articles Hodgson, Susan Fecht, Daniela Gulliver, John Iyathooray Daby, Hima Piel, Frédéric B Yip, Fuyuen Strosnider, Heather Hansell, Anna Elliott, Paul Availability, access, analysis and dissemination of small-area data |
title | Availability, access, analysis and dissemination of small-area data |
title_full | Availability, access, analysis and dissemination of small-area data |
title_fullStr | Availability, access, analysis and dissemination of small-area data |
title_full_unstemmed | Availability, access, analysis and dissemination of small-area data |
title_short | Availability, access, analysis and dissemination of small-area data |
title_sort | availability, access, analysis and dissemination of small-area data |
topic | Supplement Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7158061/ https://www.ncbi.nlm.nih.gov/pubmed/32293007 http://dx.doi.org/10.1093/ije/dyz051 |
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