White-Label Platform

The White-Label Discovery Platform aims to facilitate the discovery of relevant content for the users of specific scientific communities (Social Sciences and Humanities (SSH), Earth System Sciences, Molecular Dynamics, etc.).

For users and adopters, the White-Label Discovery Platform offers several advantages:   

• Specialised discovery experience for a single scientific discipline, unlike broader platforms like Google Scholar or OpenAIRE.
• Ease of use with personalised services (Recommendations, Annotations, AI Chatbot, Visualisations): Registered users gain visibility and can be directly contacted via an integrated chat service.
• Participation in the Data Mesh ecosystem, to expand discovery, when needed, beyond a single platform or discipline.

Learn more here.

AIDA – AI-Driven-Discovery Assistant

With the AI-Driven Discovery Assistant (AIDA) LUMEN introduces a new paradigm for scholarly content discovery: instead of searching for relevant content using keyword-based queries and formu

lating hypotheses based on the retrieved results, scholars can directly submit a research question and receive a reliable answer based on the content of scientific articles.

Advantages of AIDA:

• Direct integration with GoTriple/the White-Label Discovery Platform content
• Increased transparency: sources used to produce answers are explicitly mentioned, to enable users to better evaluate the relevance of the response
• Free AI services for registered users

Learn more here.

Meta-Search Service

The LUMEN Meta-Search Service enables researchers to seamlessly explore and connect diverse scientific resources across platforms through a unified, multilingual, and semantically enriched search interface.

Key features and benefits of the LUMEN Meta-Search

• Cross-Domain Discovery & Semantic Recommendations: Aggregates and enriches metadata from multiple federated sources, revealing connections between research projects, tools, semantic artefacts, and communities. By leveraging semantic analysis, the engine supports advanced recommendations that go beyond simple keyword search to enable true cross-domain discovery.
• Multilingual and Semantic Search: Harmonises and enriches metadata across languages, disciplines, and standards to support federated discovery and meaningful cross-domain interoperability.

Learn more here.

Metrics Service

The LUMEN Metrics Service is a modular, open, and standards-based component designed to provide transparent, domain-relevant usage and citation metrics across platforms. It enables responsible assessment of scientific resources, in line with Open Science and EOSC principles. The Metrics Service will benefit researchers by providing insights into the impact of the resources they consult and linking them to potentially relevant content. It will also assist science administrators in compiling bibliometric reports on the scientific output of their institutions.

Advantage of the Metrics Service: 

• A non-commercial alternative to commonly commercial and generic metrics solutions, the LUMEN Metrics Service is specifically developed for Open Access platforms. The Metrics Service is dedicated to specific scientific areas, adheres to the principles of transparency and will be tailored to the needs of the scientific communities involved in LUMEN.

Learn more here.

Advanced Visualisation Tools

The Advanced Visualisation Tools enhance content discovery and comprehension through an intuitive, visually engaging interface for all users of the White-Label Discovery Platform.

• Visual Representation: Provides a clear visual representation of search results.
• Quick Summary: Offers an at-a-glance overview of search results.
• Knowledge Element Representation: Effectively visualises knowledge elements, such as citations, related documents, co-authors, and scholars working on similar topics.

Learn more here.

Federation of Platforms – Data Mesh Framework Instantiation

The Federation of Platforms, which incorporates LUMEN’s Data Mesh framework, addresses the challenge of interdisciplinary collaboration by enabling cross-domain data discovery and interoperability while preserving domain sovereignty. The federation connects platforms across diverse scientific fields (SSH, Mathematics, Earth System Sciences, and Molecular Dynamics), enabling researchers and institutions to collaborate and access data from multiple disciplines.

Advantages of the LUMEN Federation of Platforms are:

• Facilitating interdisciplinary collaboration:  Connecting diverse datasets and fostering new scientific projects by bridging gaps between isolated fields. The Federation of Platforms enables a structured collaborative model where autonomous communities connect via shared governance and technical components, ensuring interoperability at scale while maintaining standardised governance through Data Contracts, which define data structure, format, and terms of use.

• Improving the state of scientific data through Data Mesh Framework: The federation addresses the current challenges of data being incomplete, fragmented and inconsistently catalogued. These make the data difficult to search. By establishing a shared data standard and improving the quality of scientific data across disciplines, LUMEN’s Data Mesh Framework seeks to resolve these hurdles.

Learn more here.

FAIR Semantic Management Space

The FAIR Semantic Management Space aims at providing an integrated environment for building and testing semantic artefacts (controlled vocabularies, thesauri, ontologies,…), by seamlessly connecting multiple existing open source tools in one platform. This working space addresses the needs of knowledge experts, ontologists..

Advantages of the FAIR Semantic Management Space:

• Integration of Tools: Unlike existing solutions, the space aims to connect multiple tools, allowing for more efficient workflows for ontology creation and testing.
• Ontology Testing: It enables testing ontologies with actual data, providing feedback that can refine the initial creation. This feature, including methodologies for ensuring FAIR compliance, is not readily available in current tools.
• Early Concept Check: The space allows users to check if a concept already exists in other ontologies during the creation phase, reducing time and effort compared to the current post-creation check.

Learn more here.

EOSC Innovation Centre

The EOSC Innovation Centre will serve as a focal point for translating LUMEN’s research results into viable innovations with real-world impact. Designed to foster cross-domain experimentation and knowledge exchange that extends beyond the life of the project, it provides an environment where new ideas, applications, and services can be developed, tested, and prepared for wider adoption across the EOSC ecosystem.

The Centre is hosted by a LUMEN institutional partner (or rotating series of partners) and builds on the Innovation Prototyping Labs (IPLs) methodology. It is a Key Exploitable Result (KER) that brings together researchers, innovators, entrepreneurs, and public sector actors to explore practical use cases for all of LUMEN’s KERs.

Advantages of the EOSC Innovation Centre:

• Cross-domain collaboration / Cross-domain innovation: The Centre will create structured opportunities for engagement across scientific disciplines and sectors, enabling participants to test how outputs from one domain can address challenges in another. This includes pairing SSH insights with Earth Systems data services or using AI tools from Molecular Dynamics in cultural heritage contexts. Whether implemented as a physical facility or a virtual meeting space, by acting as a neutral innovation ground, its purpose is to break down disciplinary silos and encourage unexpected combinations of expertise.
• Test before Invest – prototype before deploy: Before committing to full-scale deployment or commercialisation, actors can use the Centre as a Test and Experimentation Facility (TEF) to run live pilots, gather user feedback, and evaluate feasibility. This “Test before Invest” model supports risk reduction and helps teams avoid costly missteps, while encouraging evidence-led iteration and refinement. It draws on proven practices from previous EU initiatives and integrates Horizon Results Booster methodologies for evaluation and validation.
• Takes other KERs into business success / Testing of business scenarios with LUMEN KERs: The Centre will actively support the development and assessment of business models based on LUMEN’s KERs. Teams will test alternative use cases, assess market alignment, and explore value chains using structured tools and real-world data. This includes support for productisation strategies, early-stage investor conversations, and licensing pathways, ensuring that scientific results do not remain locked within the research cycle but are taken forward into sustainable use.

Learn more here.

Podcast “Inside EOSC”

The LUMEN podcast “Inside EOSC, explores the European Open Science Cloud in depth. The monthly series connects listeners to the heart of the EOSC community, offering conversations with leading thinkers and innovators shaping the future of open science in Europe.

More details will follow soon.