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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
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.
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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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