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Food and Nutrition Systems Dashboards: A Systematic Review
The rapid expansion of food and nutrition information requires new ways of data sharing and dissemination. Interactive platforms integrating data portals and visualization dashboards have been effectively utilized to describe, monitor, and track information related to food and nutrition; however, a...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156375/ https://www.ncbi.nlm.nih.gov/pubmed/35254406 http://dx.doi.org/10.1093/advances/nmac022 |
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author | Zhou, Bingjie Liang, Shiwei Monahan, Kyle M Singh, Gitanjali M Simpson, Ryan B Reedy, Julia Zhang, Jianyi DeVane, Annie Cruz, Melissa S Marshak, Anastasia Mozaffarian, Dariush Wang, Dantong Semenova, Iaroslava Montoliu, Ivan Prozorovscaia, Daniela Naumova, Elena N |
author_facet | Zhou, Bingjie Liang, Shiwei Monahan, Kyle M Singh, Gitanjali M Simpson, Ryan B Reedy, Julia Zhang, Jianyi DeVane, Annie Cruz, Melissa S Marshak, Anastasia Mozaffarian, Dariush Wang, Dantong Semenova, Iaroslava Montoliu, Ivan Prozorovscaia, Daniela Naumova, Elena N |
author_sort | Zhou, Bingjie |
collection | PubMed |
description | The rapid expansion of food and nutrition information requires new ways of data sharing and dissemination. Interactive platforms integrating data portals and visualization dashboards have been effectively utilized to describe, monitor, and track information related to food and nutrition; however, a comprehensive evaluation of emerging interactive systems is lacking. We conducted a systematic review on publicly available dashboards using a set of 48 evaluation metrics for data integrity, completeness, granularity, visualization quality, and interactivity based on 4 major principles: evidence, efficiency, emphasis, and ethics. We evaluated 13 dashboards, summarized their characteristics, strengths, and limitations, and provided guidelines for developing nutrition dashboards. We applied mixed effects models to summarize evaluation results adjusted for interrater variability. The proposed metrics and evaluation principles help to improve data standardization and harmonization, dashboard performance and usability, broaden information and knowledge sharing among researchers, practitioners, and decision makers in the field of food and nutrition, and accelerate data literacy and communication. |
format | Online Article Text |
id | pubmed-9156375 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91563752022-06-04 Food and Nutrition Systems Dashboards: A Systematic Review Zhou, Bingjie Liang, Shiwei Monahan, Kyle M Singh, Gitanjali M Simpson, Ryan B Reedy, Julia Zhang, Jianyi DeVane, Annie Cruz, Melissa S Marshak, Anastasia Mozaffarian, Dariush Wang, Dantong Semenova, Iaroslava Montoliu, Ivan Prozorovscaia, Daniela Naumova, Elena N Adv Nutr Review The rapid expansion of food and nutrition information requires new ways of data sharing and dissemination. Interactive platforms integrating data portals and visualization dashboards have been effectively utilized to describe, monitor, and track information related to food and nutrition; however, a comprehensive evaluation of emerging interactive systems is lacking. We conducted a systematic review on publicly available dashboards using a set of 48 evaluation metrics for data integrity, completeness, granularity, visualization quality, and interactivity based on 4 major principles: evidence, efficiency, emphasis, and ethics. We evaluated 13 dashboards, summarized their characteristics, strengths, and limitations, and provided guidelines for developing nutrition dashboards. We applied mixed effects models to summarize evaluation results adjusted for interrater variability. The proposed metrics and evaluation principles help to improve data standardization and harmonization, dashboard performance and usability, broaden information and knowledge sharing among researchers, practitioners, and decision makers in the field of food and nutrition, and accelerate data literacy and communication. Oxford University Press 2022-03-07 /pmc/articles/PMC9156375/ /pubmed/35254406 http://dx.doi.org/10.1093/advances/nmac022 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the American Society for Nutrition. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Review Zhou, Bingjie Liang, Shiwei Monahan, Kyle M Singh, Gitanjali M Simpson, Ryan B Reedy, Julia Zhang, Jianyi DeVane, Annie Cruz, Melissa S Marshak, Anastasia Mozaffarian, Dariush Wang, Dantong Semenova, Iaroslava Montoliu, Ivan Prozorovscaia, Daniela Naumova, Elena N Food and Nutrition Systems Dashboards: A Systematic Review |
title | Food and Nutrition Systems Dashboards: A Systematic Review |
title_full | Food and Nutrition Systems Dashboards: A Systematic Review |
title_fullStr | Food and Nutrition Systems Dashboards: A Systematic Review |
title_full_unstemmed | Food and Nutrition Systems Dashboards: A Systematic Review |
title_short | Food and Nutrition Systems Dashboards: A Systematic Review |
title_sort | food and nutrition systems dashboards: a systematic review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156375/ https://www.ncbi.nlm.nih.gov/pubmed/35254406 http://dx.doi.org/10.1093/advances/nmac022 |
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