Pilot projects – data sharing use cases

Gaia-X Finland issued a call for co-funding applications to co-create and learn about business value creation through data sharing. The call was aimed at businesses and other organisations to experiment with the functioning and practical business benefits of the European Gaia-X framework, and business models for data sharing.

What is it about? 

The European Data Strategy 2020 aims to accelerate the development of the European data economy. Gaia-X is a European initiative to develop the standard for data sharing between European countries. Gaia-X aims to be the de facto standard for building an interoperable data ecosystem, also known as a data space.  

At Gaia-X Finland, coordinated by Sitra, we believe that such co-funding opportunities are important to bring more Finnish companies into the fair data economy, to contribute to the standardisation work of data spaces and, most importantly, for companies to understand the business opportunities of Gaia-X and to innovate by data sharing and working on different building blocks.

A data space is a tool that accelerates and scales data sharing between companies, creating innovations and new services at ecosystem level. It is a dispersed system defined by a governance framework that enables secure and trusted data transactions between participants, while supporting trust and data sovereignty. A data space is implemented by one or more infrastructures and enables one or more use cases.  

The call for proposals was open for one year and closed in September 2023. The call registered more than 800 marks of interest and about 60 consortiums submitted their application with an average of three companies per consortium. Of these, five consortia were selected.

The selected consortia work in the maritime, agricultural, skills/talent and air cargo logistics sectors.

Each consortium was assessed against three sets of criteria. Firstly, real business value would be created through data sharing. Secondly, the project would adhere to the principle of a fair data economy and would have the potential to scale internationally. Finally, the project would contribute to the development of Gaia-X in Finland and be interoperable with other data spaces on a European level.   

Projects in progress

Finnish Maritime Data Space initiatives: port arrivals and sea logistics ecosystem

In this initiative, we have combined two use cases to start building the first Finnish maritime data spaces. Both use cases work on cost savings and carbon emission reduction in cargo shipping and, interestingly, apply two unique approaches.   

In the Just-in-Time (JIT) port arrival scenario implemented by Awake.ai, a machine learning algorithm is used to forecast the Estimated Time of Arrival (ETA) of a vessel. This prediction takes into account various data points, such as near-real-time fuel consumption, Vessel Traffic System (VTS) data, meteorological information, and other port-related data. The use of these different data sources increases the accuracy of the vessel’s voyage planning prediction.  

Consortium partners: Awake.ai Oy, E&S Tankers  

Schedule: The pilots are ongoing and will be completed by the end of  January 2024  

The Siili Solutions’ Virtual Port Arrival (VPA) use case proposes a new approach to traditional docking practices. Previously, ships would rush to the port to secure their berthing slot and then wait at the anchorage, sometimes for several days, resulting in increased fuel consumption due to speeding. In contrast, the VPA use case experiments with a method that allows ships to virtually arrive in port. This is based on near-real-time data such as ship position and cruising speed, enabling them to secure their berthing slot without the need for actual speeding.  

Consortium partners: Siili Solutions Oyj, Fintraffic VTS, ESL Shipping Oy, Port of Oxelösund (Sweden)   

Schedule: The pilots are ongoing and will be completed by the end of January 2024   

Both use cases are being orchestrated in a co-partnership with Fintraffic to kick-start the Finnish Maritime data space initiative in February 2024.

Mapping business value through data sharing in the air cargo data ecosystem: A look at the air logistics value chain

This use case involves the identification of critical business motivators and shared objectives among key stakeholders in the air cargo logistics ecosystem. The ecosystem includes logistics service providers, freight forwarders, and airports, all working together. For instance, consider this hypothetical scenario: while it only takes three hours to transport cargo by air from Amsterdam to Helsinki the administrative process to clear the cargo through customs at the destination can take significantly more time. In the use case, the partners identified how data sharing could create business value and conceptualised a possible solution for such a data ecosystem.  

Sitra co-funded this project, which included value chain analysis and mapping.  

Consortium partners: Fintraffic, Finnair Cargo Oy, Finnavia Oyj  

Schedule: The analysis and report are done and the project was completed in October 2023.

Potato-X: Enhancing profitability and productivity in potato farming through cross-border agricultural data sharing

This use case presents a collaboration between different participants, including Finnish potato farmers, an agricultural machinery manufacturer, the Belgian agricultural data ecosystem, and Finnish agricultural ecosystem builders. The aim is to share data on all aspects of potato farming – from planning, ploughing, planting, and maintenance to harvesting. The data, which includes soil quality, location, yield, and machinery use, is shared between two different data ecosystems. The ultimate goal is to create new business services and boost profitability and productivity for farmers. This will be achieved by establishing standards, business rules, governance systems, and connectors to facilitate data sharing between the two ecosystems.  

Consortium partners: 1001 Lakes Oy, DataSpace Europe Oy, EV-ILVO – Flanders Research Institute for Agriculture, Fisheries and Food, AVR Belgium (Farming machinery), Klåvus Group Oy Ab (Farmers),    

Schedule: Pilots are ongoing and will be completed in May 2024.

Foresight for skills: Creating a data space for AI Tools to predict a company’s future skills needs

This use case involves building on the existing structures of a Gaia-X-compliant data space. The goal is to promote data sharing across different departmental silos within an organisation and external data related to skills. The ultimate goal is to create an AI tool that can benchmark and learn from an organisation’s real-time data, comparing it to leading skills in the sector. This will enable the company to predict its future skills needs for the next one, three, or five years. As a result, the company gains foresight that can be translated into actionable human capital, resource and skills development planning.  

Consortium partners: Headai Oy, Visions, Lightcast (Economic Modeling LLC doing business as “Lightcast”), Prometheus-X, ABB Oy   

Schedule: The pilot is planned to start in January 2024 and will be completed in May 2024.

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Contact us

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Denny Wong
Specialist, Gaia-X Finland
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Denisa Mäki
Project Coordinator, Gaia-X Finland
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Jenna Kiljunen
Specialist, Communications and Public Affairs

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