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Data visualisation to support obesity policy: case studies of data tools for planning and transport policy in the UK
Data visualisation is becoming an established way to drive discovery and develop theory and hypotheses among researchers. Data visualisations can also serve as tools for knowledge translation with policy makers, who are increasingly using data and evidence to inform and implement policy. For obesity...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6291420/ https://www.ncbi.nlm.nih.gov/pubmed/30470805 http://dx.doi.org/10.1038/s41366-018-0243-6 |
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author | Monsivais, Pablo Francis, Oliver Lovelace, Robin Chang, Michael Strachan, Emma Burgoine, Thomas |
author_facet | Monsivais, Pablo Francis, Oliver Lovelace, Robin Chang, Michael Strachan, Emma Burgoine, Thomas |
author_sort | Monsivais, Pablo |
collection | PubMed |
description | Data visualisation is becoming an established way to drive discovery and develop theory and hypotheses among researchers. Data visualisations can also serve as tools for knowledge translation with policy makers, who are increasingly using data and evidence to inform and implement policy. For obesity policy, data visualisation tools can help policy makers and other professionals understand the socio-spatial distribution of risk factors and quantify social and environmental conditions that are recognised upstream determinants of diet, activity and obesity. The demand for and use of data visualisation tools can be driven by an identified policy need, which can be met by researchers and data scientists. Alternatively, researchers are developing and testing data visualisations, which may be subsequently adapted for, and adopted by policy users. Two recently-released interactive data visualisation tools in the UK illustrate these points. The Propensity to Cycle Tool (PCT) was developed with funding from the UK government to inform the investment of cycling infrastructure in England. The Food environment assessment tool (Feat) evolved as a translational output from a programme of epidemiological research. This article uses PCT and Feat as case studies, drawing parallels and contrasts between them. We discuss these two tools from policy context and scientific underpinnings, to product launch and evaluation. We review challenges inherent in the development and dissemination of data tools for policy, including the need for technical expertise, feedback integration, long-term sustainability, and provision of training and user support. Finally, we attempt to derive learning points that may help overcome challenges associated with the creation, dissemination and sustaining of data tools for policy. We contend that, despite a number of challenges, data tools provide a novel gateway between researchers and a range of stakeholders, who are seeking ways of accessing and using evidence to inform obesity programs and policies. |
format | Online Article Text |
id | pubmed-6291420 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-62914202018-12-14 Data visualisation to support obesity policy: case studies of data tools for planning and transport policy in the UK Monsivais, Pablo Francis, Oliver Lovelace, Robin Chang, Michael Strachan, Emma Burgoine, Thomas Int J Obes (Lond) Article Data visualisation is becoming an established way to drive discovery and develop theory and hypotheses among researchers. Data visualisations can also serve as tools for knowledge translation with policy makers, who are increasingly using data and evidence to inform and implement policy. For obesity policy, data visualisation tools can help policy makers and other professionals understand the socio-spatial distribution of risk factors and quantify social and environmental conditions that are recognised upstream determinants of diet, activity and obesity. The demand for and use of data visualisation tools can be driven by an identified policy need, which can be met by researchers and data scientists. Alternatively, researchers are developing and testing data visualisations, which may be subsequently adapted for, and adopted by policy users. Two recently-released interactive data visualisation tools in the UK illustrate these points. The Propensity to Cycle Tool (PCT) was developed with funding from the UK government to inform the investment of cycling infrastructure in England. The Food environment assessment tool (Feat) evolved as a translational output from a programme of epidemiological research. This article uses PCT and Feat as case studies, drawing parallels and contrasts between them. We discuss these two tools from policy context and scientific underpinnings, to product launch and evaluation. We review challenges inherent in the development and dissemination of data tools for policy, including the need for technical expertise, feedback integration, long-term sustainability, and provision of training and user support. Finally, we attempt to derive learning points that may help overcome challenges associated with the creation, dissemination and sustaining of data tools for policy. We contend that, despite a number of challenges, data tools provide a novel gateway between researchers and a range of stakeholders, who are seeking ways of accessing and using evidence to inform obesity programs and policies. Nature Publishing Group UK 2018-11-23 2018 /pmc/articles/PMC6291420/ /pubmed/30470805 http://dx.doi.org/10.1038/s41366-018-0243-6 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Monsivais, Pablo Francis, Oliver Lovelace, Robin Chang, Michael Strachan, Emma Burgoine, Thomas Data visualisation to support obesity policy: case studies of data tools for planning and transport policy in the UK |
title | Data visualisation to support obesity policy: case studies of data tools for planning and transport policy in the UK |
title_full | Data visualisation to support obesity policy: case studies of data tools for planning and transport policy in the UK |
title_fullStr | Data visualisation to support obesity policy: case studies of data tools for planning and transport policy in the UK |
title_full_unstemmed | Data visualisation to support obesity policy: case studies of data tools for planning and transport policy in the UK |
title_short | Data visualisation to support obesity policy: case studies of data tools for planning and transport policy in the UK |
title_sort | data visualisation to support obesity policy: case studies of data tools for planning and transport policy in the uk |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6291420/ https://www.ncbi.nlm.nih.gov/pubmed/30470805 http://dx.doi.org/10.1038/s41366-018-0243-6 |
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