The main goal of the i4Trust project is to boost the development of innovative services around new data value chains. We achieve this by providing the right tools, education, coaching, and initial funding for creating Data Spaces enabling trustworthy and effective data sharing. Ecosystems of collaborating SMEs and supporting DIHs will emerge sustainably around such Data Spaces.

i4Trust is building a sustainable ecosystem where companies will be able to create innovative services by breaking “data silos” through sharing, re-using, and trading of data assets.

13 experiments resulted from the first i4Trust Open Call and their Impact Stories are now available on the i4Trust website. Get to know the experiments that will create a positive and long-lasting impact around Data Spaces.

Read the i4Trust Impact Stories

AgriSpace4Trust: AgriSpace4Trust enables the prosumption of data services to optimise energy inputs in olive production creating new data-driven services. It proposes to create data hubs – supported by i4Trust data space- that (re)use local weather stations or agro-environmental sensors and opens them to a wider community of local users.

Agrimed: The Agrimed project is aimed to create a Data Space that demonstrates how the exchange and sharing of strategic data within the agri-food chain can bring relevant benefits for farmers and for local communities: economical advantages, agri-environmental benefits, and support to the sustainability of agri-production.

AgroTrust: AgroTrust aims to be a solution for transparent certification of authentic agricultural products, which reinforces the relationship of trust between the consumer and the entire food production chain, enhancing high-quality farmers and producers to guarantee food security for every citizen. At the same time, the tool allows the farmer to trace all technical information on the products used.

CO2-Mute: The CO2-Mute project aims to support local governments in these specific challenges in the deployment of policies for sustainable mobility and urban green infrastructure, in the frame of their local environmental and digital transition strategies. CO2-Mute focuses on supporting local authorities to understand their situation and to define local governments policies, in terms of mobility and green challenges.

CollMi: The CollMi experiment focuses on solving two common problems in logistics operations, which stand at the source of many operation errors in the logistics value-chain and hinder the implementation of more efficient and sustainable operations like the ones implemented by a CMH, namely: (1) The lack of an integrated mechanism for digital communication between the different possible intervenients. (2) The lack of trust between logistic companies to enable the implementation of collaborative operations in situations where both companies would benefit, as well as, the entire logistic process.

Colodas: The Colodas experiment can be described by the following elements: (1) An IoT (internet-of-things) device which will be provided by InnoTractor and works on the mobile network will be placed onto flat rack containers which will carry bricks (or similar transport); (2) The IoT devices will track the location of the flat racks during transport from the bricks factory to the end customer; (3) Flat racks will be provided to one or more brick factories so they can load the bricks on the flat rack.

DSWEU: The DVU (Dataspace for Energy Reduction in Non-Residential Buildings) objective is to eliminate the data-sharing barriers in the current market. As explained earlier, developing more ambitious CO2-reduction projects for non-residential buildings increasingly requires complete and up-to-date data on the measured energy consumption in relation to key construction features.

DV4CUL: DV4CUL aims to make available a tool that helps urban logistics stakeholders, both LSPs and its clients, realize how they can adapt to the market conditions that disruptors like Amazon are installing. It does so by simulating how they can integrate capillary logistics into their business, or develop it further, as well as set up collaborations that give them control over their data and awareness of strategies for getting more value out of it.

e-CMR Hub: Via the datahub in this experiment, interoperability is organised for e-CMR providers and Government. A neutral e-CMR data hub endorsed by business and government is needed to enable e-CMR providers to scale up and boost cross border digitisation. The enablement of cross platform e-signing and sharing of e-CMR data for inspections by government officials forms the foundation to increase the acceptance of e-CMR solutions.

eV2W: eVine2Wine enables data sharing in a trusted and controlled way by using Digital Twins of the vineyard areas, with iShare providing identity and access control mechanisms. Through that wine value chain, stakeholders can access relevant, secure, and voluntarily shared data from the vineyard: be it wine consumers, cellar personnel, viticulture advisors, marketing companies, or any other stakeholder in the wine value chain.

Farm4All: Farm4All is a data service platform that allows the connection of all agents of the agri-food chain of meat products. This platform connects all these agents and allows them to optimize processes and costs while offering higher value-added services. Thanks to this platform, automation will be established along the meat supply chain with consequent economic savings.

iGreenPort: iGreenPort offers Port Authorities and other port agents with environmental competencies. It offers a Dataspace to share and consume environmental and operational data (such as the seawater quality in the port) in near real-time, with which it will be able to take more intelligent and faster decisions aimed at the efficiency and environmental sustainability of its ports.

SLAM: SLAM provides insight into requirements imposed on IoT devices in public spaces, such as Data Privacy Impact Assessments (DPIA), registration of sensors in a public registry, device certifications, openness and transparency, and compliance with (spatial) legislation and use of open API’s/standards/models. This information is combined with actual locations, functions, and the data collection of IoT devices and sensors in public spaces.