Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/5153
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dc.contributor.authorZhou, Bingjie-
dc.contributor.authorLiang, Shiwei-
dc.contributor.authorMonahan, Kyle M-
dc.contributor.authorSingh, Gitanjali M-
dc.contributor.authorSimpson, Ryan B-
dc.contributor.authorReedy, Julia-
dc.date.accessioned2023-06-26T02:07:56Z-
dc.date.available2023-06-26T02:07:56Z-
dc.date.issued2022-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/5153-
dc.description.abstractTherapidexpansionoffoodandnutritioninformationrequiresnewwaysofdatasharinganddissemination.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.en_US
dc.language.isoen_USen_US
dc.subjectnutrition and foodsurveillanceen_US
dc.subjectnutritiondataqualityen_US
dc.subjectdatavisualizationen_US
dc.subjectqualitymetricsen_US
dc.subjectdashboardevaluationen_US
dc.titleFoodandNutritionSystemsDashboards: ASystematicReviewen_US
dc.typeArticleen_US
Appears in Collections:VOL 13 NO 3 (2022)

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