Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/5153
Title: FoodandNutritionSystemsDashboards: ASystematicReview
Authors: Zhou, Bingjie
Liang, Shiwei
Monahan, Kyle M
Singh, Gitanjali M
Simpson, Ryan B
Reedy, Julia
Keywords: nutrition and foodsurveillance
nutritiondataquality
datavisualization
qualitymetrics
dashboardevaluation
Issue Date: 2022
Abstract: Therapidexpansionoffoodandnutritioninformationrequiresnewwaysofdatasharinganddissemination.Interactiveplatformsintegratingdata portalsandvisualizationdashboardshavebeeneffectivelyutilizedtodescribe,monitor,andtrackinformationrelatedtofoodandnutrition;however, acomprehensiveevaluationofemerginginteractivesystemsislacking.Weconductedasystematicreviewonpubliclyavailabledashboardsusing a set of 48 evaluation metrics for data integrity, completeness, granularity, visualization quality, and interactivity based on 4 major principles: evidence,efficiency,emphasis,andethics.Weevaluated 13dashboards,summarizedtheircharacteristics,strengths,andlimitations,andprovided guidelinesfordevelopingnutritiondashboards.Weappliedmixedeffectsmodelstosummarizeevaluationresultsadjustedforinterratervariability. The proposed metrics and evaluation principles help to improve data standardization and harmonization, dashboard performance and usability, broadeninformationandknowledgesharingamongresearchers,practitioners,anddecisionmakersinthefieldoffoodandnutrition,andaccelerate dataliteracyandcommunication.
URI: http://localhost:8080/xmlui/handle/123456789/5153
Appears in Collections:VOL 13 NO 3 (2022)

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