Innovative Approach to Foodome Initiative in Hungary
"Explore the Hungarian division of the Foodome initiative focusing on science, data, and applications. Learn about the dynamic interactions shaping microbiota impact on health and the knowledge base supporting data-driven decisions. Dive into master sheets, database management, and food composition mapping for optimal outcomes."
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Presentation Transcript
Hoodome: the Hungarian division of the Foodome initiative A science-, data- and application- focussed rationale Anna J nosity, PhD student, SZIE Maha Rockaya, Tishreen University, Syria Gy ngyi Kirschner, PhD, Consultant Dr Katalin M ller, MD, PhD, Consultant J zsef Baranyi, supervisor, UniDeb Mayara Lopes Martins, PhD student, UniDeb T nde Pacza, PhD student, UniDeb
D ynam ic interactions D ynam ic interactions G E N E G E N E G E N OM E G E N OM E E XPRE SSION E XPRE SSION Health E N VIRON M E N TA L E N VIRON M E N TA L E XPOSU RE E XPOSU RE M IC ROB IOM E M IC ROB IOM E FOOD OM E FOOD OM E Genome and Food composition shape the microbiota impact on Health
D ata base D ata base K now ledge base K now ledge base D ecisions on the database A ctivity Measurements, publications - Digitalisation, automation - Inputting data - Systematic data - Data gaps, input-efficiency - Data checking (syntax, semantics) - Cleaning - Ontology, size, - Database resolution subject to purpose Spreadsheets, connected tables - Browsing in data, - Visualisation, statistics, patterns; - Modelling, predictions - Decisions for actions - Optimisation - Big capacity, fast data retrieve Data base Availability, Accessability - Compatibility and interactions with other databases
M aster sheets' fields connected to definition M aster sheets' fields connected to definition- -tables tables Fields Records Response: food composition Condition ValueSet: numbers, intervals, or dynamic (time- dependent) tables X(t) Y(t) mapping
