- About Us
The Global Dietary Database (GDD) aims to perform novel research and translation on global dietary intakes, diet-related disease burdens, and evidence-based policy actions to create a healthier, equitable, and more sustainable food supply. To leverage this work and maximize its impact, the GDD is establishing partnerships with key organizations around the world. These relationships enable GDD and its partners to synchronize and expand their international networks, leverage and establish frameworks for joint research, projects, and programs and together disseminate findings to a wide range of relevant stakeholders, including researchers, advocacy groups, governments, non-governmental organizations, and funders.
In 2016, the United Nations Food and Agriculture Organization/World Health Organization Global Individual Food consumption data Tool (FAO/WHO GIFT) and the Friedman School of Nutrition Science and Policy at Tufts University established an official collaboration for harmonizing individual-level dietary data from around the world. Both initiatives aim to identify, retrieve, harmonize, and disseminate individual-level 24-hour dietary recall or record data at their finest level (hereinafter referred to as microdata).FAO/WHO GIFT specifically aims to harmonize and disseminate microdata and to compute nutrition, food safety, and environmental impact indicators. Through this collaboration, we have facilitated the harmonization of dietary datasets on a global scale and its public dissemination through online platforms.
In 2018, the Friedman School of Nutrition Science and Policy at Tufts University and the European Food Safety Authority (EFSA) established a collaboration to develop and adapt procedures for the harmonization of global dietary datasets. EFSA, a European agency providing independent scientific advice on food-related risks, developed and maintains the FoodEx2 food classification and description system (FCDS) and has been working on the harmonization of dietary microdata for over ten years. We aimed to maximize efficiency by exchanging resources, data, and complementary experience and expertise with regard to data harmonization and dissemination.