Collaborations
Data Spaces Support Centre
The “Technology of Data Spaces” Thematic Group of DSSC brings together experts, professionals and researchers interested in technology and technical challenges in Data Spaces with the main objective of sharing knowledge, sharing best practices, and identifying and co-creating new knowledge. Several DataBri-X members are members of the Technology thematic group, contributing to the topic, with the main part of the work foreseen in the second part of the project following the release of Blueprint version 1.0. Liaison with DSSC is actively managed to ensure that the DataBri-X work builds upon existing standards, trends, and technologies, as well as to increase impact of the project by providing the project results to DSSC initiatives and thereby the interested communities. See list of projects in the website under ‘Research and Innovation projects contributing to Data Spaces”
AI-DAPT
AI-DAPT project topic is an AI-Ops framework for automated, intelligent and reliable data/AI pipelines lifecycle with humans-in-the-loop and coupling of hybrid science-guided and AI Models. A key point in AI-DAPT is the deployment of AI pipelines that involve ML models coupled with science-guided models that capture physics-related aspects of the applications, where appropriate. Discussions between the teams of the two projects involve identifying ways on how the AI-DAPT can benefit from seeing its envisioned data pipelines under the view of the DataBri-X ToolBox, where "bricks" (processes, technologies and tools) that improve the interoperability, usability, discoverability, quality, and integrity of data and metadata can be adopted and used directly in the data pipelines. Visit website
UNDERPIN
UNDERPIN project runs under the Digital Europe Programme, with the aim to build and operate the Pan-European Data Space for holistic asset management in critical manufacturing industries, focusing on dynamic asset management and predictive/prescriptive maintenance. DataBri-X ToolBox could be adopted to support interoperability, usability, discoverability, quality, and integrity of data and metadata especially in order to prepare high quality datasets to assist the training part of ML tasks associated with predictive maintenance, tailored to refineries and wind farms industrial domains. Synergies have been created to exchange technical background in setting up dataspaces to facilitate industrial-level data sharing. Visit website
STELAR
STELAR project runs in the same HORIZON call as DataBri-X. The aim of STELAR is to develop an innovative Knowledge Lake Management System (KLMS) to support and facilitate a comprehensive approach for FAIR and AI-ready data and test it in pilot demonstrations in the agrifood sector. The KLMS integrates a series of data management tools and workflows and enables enhancing a data lake with a knowledge layer. KLMS tools support geospatial, temporal, and textual data management and offer innovative functionalities for data discovery, integration, and annotation. Discussions between the teams of the two projects involve exchanging views and ideas about the design and management of data processing pipelines and about how to facilitate data discovery and interoperability in data spaces. Visit website
European Language Grid
The European Language Grid provides access to Language Technology resources from all over Europe. ELG contains tools and services, language resources and information on European LT companies and research organisations as well as their projects. You can try out the services or use our APIs. Make use of an LT service, download corpora or find your future business partner – all within the European Language Grid. Visit website
European Language Data Space
One of the Data Spaces currently under development is the Language Data Space (LDS). Through it, relevant stakeholders, e.g., from the publishing, language technology or press industry, will be able to exchange and monetise their language data and other language resources (e.g., language models) through a single platform, taking EU values and compliance with EU rules fully into account. As a result, the LDS will significantly increase the much-needed availability of clean, high-quality, compliant language data to support the development of state-of-the-art language technologies (LT) and AI-based LT services for a range of businesses. Visit website