DATA-FAIR project

DATA-FAIR is centred on the agricultural company as a supplier and administrator of data. The farmer decides who may use which data and under what conditions. The task of managing permissions plays an important role in this regard.

DATA-FAIR develops applications for the exchange of data between different platforms, starting with existing applications which can be expanded by adding additional features or modules. The data in question consists of company-specific standards and sustainability data for credit rating purposes, or the reduction of administrative burdens and risk assessments by insurers based on data obtained directly from the farmer.

Within the applications, usability, flexibility and scalability are important. For a number of applications, DATA-FAIR is seeking to develop attractive and transparent business models and achieve good organisational embedding (governance) – resulting in immediate and long-lasting usability and applicability in practice.

Sharing actual data in eight trials

The market for fair data exchange will be brought to life in eight trials designed to capture the imagination. By simultaneously providing access to data and testing its use in tandem with businesses, this project will achieve rapid, solid and effective implementation.

The DATA-FAIR project aims to accelerate innovation by organising a number of large-scale trials run by businesses, in which a number of data and Internet of Things (IoT)-based apps & services will be developed. In the process, data will be shared between various platforms and added value will be created. IoT involves connecting devices over the internet in order to share data.

The eight trials are:

  1. Company-specific standards and sustainability data for credit rating purposes
  2. Joint permissions system
  3. Improving quality, transparency and planning with the BEEFHUB system for cattle
  4. Developing a Big Data analysis service
  5. Sustainability dashboard for farmers and auditors in compliance data
  6. Reducing administrative burdens and risk analyses based on external data
  7. Data strategy for contract work
  8. Financial data for integrated soil management

Speeding up innovation in data-sharing

Data is assuming an increasingly important role in our society as a source for monitoring, planning and controlling processes. The emergence of IoT, in which all kinds of sensors, devices, etc. are connected together and can supply real-time data, is reinforcing this development. By combining and aggregating them, data gain value which means that the sharing of data between companies in the chain is important.

Important considerations are the ownership of data and the implementation of a good business model to ensure that the value of data is shared while the exchange of applications between different platforms, devices and users is also of significance. The benefits to farmers are often less obvious than the benefits to agribusiness, which carries the risk of resistance to big data. In order to resolve bottlenecks, DATA-FAIR centres on the farmer as a supplier and administrator of data.