LUMEN Objectives

LUMEN Objective 1:

Establish a common knowledge and data space within the next-gen EOSC

With its outputs, the LUMEN project aims to establish a common knowledge and data space within the next-gen EOSC. This space will be based on a network of federated communities that leverages a common technological framework, the White-Label Discovery Platform that supports interoperability, streamlined workflows, and cross-disciplinary collaboration. This harmonised cross-disciplinary knowledge space will enhance researchers’ access to datasets and analysis platforms while simultaneously ensuring long-term data preservation and availability. LUMEN will develop four discovery platforms (outcome 2) to support the communities engaged in the project: two new ones derived from the White-Label Discovery Platform, and two existing ones enhanced with advanced features. This common space will be based on a data mesh architecture that will support the integration of domain-specific resources and provide a framework for interoperability and scalability. A federated and global data governance framework will offer autonomy in data management within communities while adhering to global standards. Additionally, an open-source shared data platform will facilitate collaboration among communities with domain-agnostic capabilities and interdisciplinary features.

LUMEN Objective 2:

Create an ecosystem of innovative features that improve the quality of delivery of scientific outputs

LUMEN aims to create an ecosystem of innovative features (outcomes 4 & 5) intended to improve the qualitative delivery of scientific outputs. The goal is to enable researchers to expedite the delivery of outputs throughout the research lifecycle, including data and software, with the same precision as traditional publications. To achieve this, a set of services focusing on discovery, visualisation, editing, and data/metadata enrichment will be developed and made accessible through a service catalogue. These innovative features will empower researchers to enhance the quality and efficiency of their scientific contributions, ultimately advancing the pace of scientific discovery and dissemination.

LUMEN Objective 3:

 Support the production of FAIR-by-design research outputs. 

LUMEN aims to build user-friendly and community-specific workflows supporting the communities involved in the project, with the creation, management and use of semantic artefacts to FAIRify datasets.

This FAIR Semantics Management Space will leverage and integrate the existing semantic tooling ecosystem to support the FAIRification of Semantic Artefacts as well as the various steps of semantic artefact life cycle (documentation, publication, governance,…). LUMEN will contribute to the TRL increase of the existing service and develop whenever necessary missing services to support FAIR-by-design Semantic Artefacts. Semantic Artefacts, relevant for the communities and hosted in this particular space will be used to enrich both manually and semi-automatically (with the support of AI/ML tools) the metadata and data content of the four discovery platforms. This orchestrated set of services aims to enable researchers to expedite the delivery of FAIR-by-design outputs across the research lifecycle, including data and software, with the same level of precision as traditional publications.

LUMEN Objective 4:

Facilitate the early stage of the research lifecycle by enhancing specific tools and services

LUMEN will streamline the early stages of the research lifecycle (i.e. research planning and preparation phase) by providing services to support the findability and access of relevant research outputs (white label discovery platform, outcome 1) and the creation, usage of semantic artefacts (FAIR Semantics Management Space) (outcome 3) which are instrumental in the early phase of the research cycle. These services will result from the enhancement of existing services and tools (e.g. GoTriple, Webprotégé, …). By focusing on improving findability, optimising (meta-)data collection, and fostering collaboration during the initial phases of research, this effort aims to lower barriers for researchers and enhance the efficiency and effectiveness of the research planning and preparation process.