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DC Field | Value | Language |
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dc.contributor.author | Zhou, Bingjie | - |
dc.contributor.author | Liang, Shiwei | - |
dc.date.accessioned | 2023-06-24T03:50:24Z | - |
dc.date.available | 2023-06-24T03:50:24Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/5149 | - |
dc.description.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 | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | American Society for Nutrition | en_US |
dc.subject | nutritionandfoodsurveillance | en_US |
dc.subject | nutritiondataquality | en_US |
dc.subject | datavisualization | en_US |
dc.subject | qualitymetrics | en_US |
dc.subject | dashboardevaluation | en_US |
dc.title | FoodandNutritionSystemsDashboards: ASystematicReview | en_US |
dc.type | Article | en_US |
Appears in Collections: | VOL 12 NO 3 (2021) |
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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