Korean Rural Development Administration's web based food and nutrient database management and validation system (NutriManager) – A report

Hunjoo Lee, Eunyoung Han, Nam ji Kwon, Yongsoo Kim, Sena Kim, Haengran Kim, Sung Gi Min*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)

    Abstract

    Food composition databases (FCDBs) are important to studies, industries, polices, and modeling related to diet and food. A FCDB has been provided by each country's government organizations. In Korea, the FCDB has been produced and provided by the Rural Development Administration (RDA) and the national food analysis system (NFAS), a network between qualified laboratories by the nation. In this study, a new web based system, NutriManager, was designed to support integrated database management and collaboration between RDA and NFAS. The main goal of this system is to provide an efficient tool to support a series of workflow from sample enrollment to validation results. NutriManager has many features related to food and nutrient database management and validation; the computerized laboratory notebook, the stepwise processes of algorithms for validity assessment and determination of the representative value, and creation of a Korean National Food Composition Table (KNFCT). Therefore, NutriManager contributes to production of food composition data with high reliability and also can be used as a more efficient tool to link with other public programs using FCDB as a key database in Korea.

    Original languageEnglish
    Pages (from-to)231-238
    Number of pages8
    JournalJournal of Food Composition and Analysis
    Volume62
    DOIs
    Publication statusPublished - 2017 Sept

    Bibliographical note

    Funding Information:
    This study was financially supported by the National Institute of Agricultural Science of Rural Development Administration (No. PJ010846) and also Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry and Fisheries (IPET) through High Value-added Food Technology Development Program (or Project), funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) (1545011476). Also, this study was supported by the Priority Research Centers Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2016R1A6A1A03007648).

    Publisher Copyright:
    © 2017 Elsevier Inc.

    Keywords

    • Database management system
    • Food analysis
    • Food composition
    • Food composition data
    • NutriManager
    • Representative value
    • Validation system
    • Web based

    ASJC Scopus subject areas

    • Food Science

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