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) |
Files in This Item:
File | Description | Size | Format | |
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748-757.pdf | 919.09 kB | Adobe PDF | View/Open |
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