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NGDI - Next Generation Dataspace Initiative

Project Status: Live Project

Principle Investigator: Edward Curry

Funding:

Start Date: 1st January, 2025

Finish Date: 31st December, 2028

 

Aim & Objectives:

Next Generation Dataspaces Initiative’s (NGDI) objectives are to enable the next generation of data space infrastructure, supporting cross-domain integration of services and data from single domain data spaces (e.g., mobility, agriculture, health, culture) to support multiple application areas. To enable and encourage bottom-up and sector-specific initiatives while ensuring their interoperability and the flow of data across sectors, national, regional, and international initiatives and countries, the FAIR (Findable, Accessible, Interoperable, Reusable) principles provide a basis for establishing data interoperability and quality, but many details are still missing. NGDI aims to identify the requirements, governance principles, technological building blocks and roadmaps needed to create decentralized, hierarchical, and interoperable infrastructures for Next Generation Data Spaces. Research is required to establish the foundations and technology for this interoperation. This proposal brings together leaders in their respective fields to develop the necessary foundational technology and transition these data spaces into industrial application. We believe this project is important for realizing the opportunities that the emerging data spaces can bring to the national and European economy.

Partners:

https://www.fraunhofer.de/

 

Outputs

  • White Papers presenting guidelines for the organizational implementation of integration concepts, such as introducing process models, sustainable business models/incentive mechanisms, and governance.
  • Technological Building Blocks (Infrastructure) including a PID System's and PID Mapping Service's framework/proof of concept (PoC), LLM-Based Services to automate dataspaces interoperability, and cross-data space integration of usage policies. These elements are intended to serve multiple data spaces and will be accompanied by documentation and guidelines.
  • Demonstrator consisting of two novel integrations of data spaces to showcase the effectiveness of the developed instruments. These demonstrations will discuss the technology, organization, and economy dimensions.
  • Contributions to the scientific community primarily through scientific papers, keynote speeches, and workshop participation. Other contributions include engagement in standardization efforts, education and training programs, and scientific consulting.
  • A Portfolio of R&D Offerings designed for industry clients, data space authorities, and public bodies. These offerings include services like use case development, semi-automatic assistance for SMEs, and technical consultancy on PIDs and AI-based tools.