Data acquisition, management and analysis
Focus: Data regeneration, building up metadata, databanks and a modelling tool for steering the food choices
Planned results: Feasibility study for public use, the consumer awareness report, the mutual database and the paths to the database, the food choice model, awarding process, response report and impact scenario report.
Overview of WP content: Mapping the baseline situation and factors influencing food, mapping critical points, constraints and bottlenecks; data regeneration, planning of data matrices, paths to databases, modelling choice tools and assessment of the process.
Responsible partner: University of Tartu
|Data acquisition, management and analysis|