Turning Food Data Into Commercial Opportunities
For software developers providing programmes and tools to work with nutritional information on food, it is essential to underpin their products with high quality, scientifically-validated, and evidence-based official food composition data. Ultimately the outputs of the product will only be as good as the data used by the software
The importance of validated food composition data
Those seeking to use food composition information for any purpose, research or commercial, need high-quality product-specific information. Most recipe-, diet- or menu-planning tools are country-specific and use national food composition data but, in an increasingly global market, products are frequently missing, out-of-date, or country-specific. Food composition data are becoming more expensive and difficult to produce; reduced funding and changing priorities have meant fewer participating laboratories, obsolete methods and unreliable data.
Our offer could change all that
EuroFIR has brought together national compilers and research organisations to provide harmonised and standardised food composition data from 24 countries at a single point of access. The benefit of using EuroFIR food composition data is that it includes the most up-to-date validated data across Europe and beyond.
For more information on the data in each FCDB, please click here.
| Country | Name of FCDB |
|---|---|
| Bulgaria | Bulgarian Food Composition Database 2009 |
| Canada | Canadian Nutrient File (CNF) 2010 |
| Denmark | Danish Food Composition Databank version 7.01, 2009 |
| Finland | Fineli - Finnish Food Composition Database 2011, Release 14 |
| France | AFSSA/CIQUAL French food composition table version 2016 |
| Greece | Hellenic Health Foundation DataBase, HHF, 2013 |
| Iceland | Icelandic ISGEM database 2008 |
| Ireland | Irish Food Composition Database UCC 2009 |
| Italy | Food Composition Database for Epidemiol. Studies ISPO 2008 |
| Italy | Italian food composition database INRAN 2008 |
| Latvia | Latvian National Food Composition Data Base 2009 |
| Lithuania | Lithuanian Food Composition database 2008 |
| Netherlands | NEVO-online, version 2014/4.0. RIVM, Bilthoven, The Netherlands |
| Norway | Norwegian Food Composition Table 2006 |
| Poland | Polish Food Composition Database, 3rd Edition, 2005 |
| Portugal | Portuguese food composition database INSA 2008 |
| Serbia | Serbian Food Composition Database 2016 |
| Slovakia | Slovak food composition database 2009: selection of compiled food composition database, EuroFIR doc |
| Slovenia | Slovenian FCDB 2013 |
| Spain | Base de Datos Española de Composición de Alimentos – BEDCA 2016 |
| Sweden | Swedish Food Composition Database 2013-01-10 |
| Switzerland | Swiss Food Composition Database, V3.01 2013 |
| UK | McCance and Widdowson’s The Composition of Foods integrated dataset 2015 |
| USA | USDA National Nutrient Database for Standard Reference, Release 27. 2014 |
Here's our solution
There is the possibility of licensing the data in XML/Excel format. The fees are calculated based on the total number of products in selected datasets. Please see the information below regarding the fees for these options (exclude VAT when applicable).
# of products: <6400
Fee: 500 EUR
# of products: 13001 - 19000
Fee: 1500 EUR
# of products: 25001 - 32000
Fee: 2500 EUR
# of products: 6401 - 13000
Fee: 1000 EUR
# of products: 19001 - 25000
Fee: 2000 EUR
# of products: >32000
Fee: 3000 EUR
Examples of commercial uses include:
- Tools for HoReCa including recipe management, menu calculation, menu maker, etc.
- Development of digital platforms and services for food businesses
- Recipe management software, diet analysis, meal plans creation
- Online food service (HoReCa)
- Portals for personalised wellbeing including nutritional advice
- Smart kitchens
Examples of types of apps which use the data are:
- Tracking nutrition intakes, personal nutritional diaries, etc.
- Nutritional composition, food safety, cost management and regulatory compliance (HoReCa)
- Personalised nutritional advice, exercise, etc.
- Dietetic support
- Connecting with health and fitness wearables
- Interacting with intelligent assistants (e.g. Siri on iOS, Alexa)
- Gaming