Joining Data Food Consortium means sharing:
All this with a concern for a balance between collaboration and independence. In our opinion, we can prioritize the general interest while preserving the private interests of our ecosystem.
AN OPEN, TRANSPARENT AND FAIR FOOD SYSTEM…
…allowing the emancipation of both producers and eaters.
A system where short food chains can take their place, overcoming technological and logistical limitations.
A DISTRIBUTED WEB
A SHARED AND COOPERATIVE BIG DATA
We dream of a food system where all people, producers or eaters, benefit from good and healthy products, and live with dignity on a healthy planet Earth.
The food system is organized in a decentralized manner: producers and eaters manage fair and equitable distribution channels either directly or via necessary intermediaries. These distribution channels create the most direct possible relationship between producers and eaters.
They ensure transparency in trade, both on prices and margins of the players in the system as well as on the intrinsic quality of the products and their potential impacts on health and the environment.
Thus, they allow the establishment of relationships of trust between producers, distributors, platforms, eaters, etc.
Although multiple, distributed over the territory, and governed by many players, these distribution channels, producers and platforms are nonetheless effective: they cooperate and pool their energy and resources on all aspects of their operation.
At the same time, they ensure their independence and autonomy, so they remain sovereign over decisions and data concerning them.
To do this, all the actors in the food system speak a common language allowing them to easily communicate clear information necessary for their cooperation.
We dream of platforms that are able to communicate and pool data to work together on use cases that cannot be solved alone.
Here we are joining a new paradigm, a new way of thinking about the web: the distributed web.
In the distributed web, applications read data from several databases, regardless of their location, which avoids having to re-enter the data.
This saves energy (avoids multiple data entry) and allows you to maintain the sovereignty of your data (you choose the data you want to share, with whom and under what circumstances).
For this, applications must learn to speak a common language conceptualized as a standard around ontologies.
It is therefore not a question of learning the language of other platforms (via APIs) and even less of learning a language forced on by abig player of the web or the food industry.
Allow the development of independent, transparent and collaborative networks.
Maintain sovereignty over our data.
All this carries fundamental issues of democracy!
We are all concerned, and this cannot be an area for a few technicians.
At a time when certain web and industry giants are centralizing our data in an opaque manner and positioning themselves on agricultural big data, if we want to keep control of our food system, we must build a logic of decentralized big data governed in a collaborative way, like commons.
In these logics, we therefore share a common digital language that we have co-created together, without being imposed on us. And at the same time, the data is not centralized but distributed, and everyone retains sovereignty: each organizer of short supply chain owns their data, can choose to share them under specific conditions, for a particular objective, for a given time.
