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DisGeNET is a discovery platform containing one of the largest collections available of genes and variants involved in human diseases. DisGeNET integrates data from expert curated repositories, GWAS catalogues, animal models, and the scientific literature, and covers the whole landscape of human diseases. The current version of DisGeNET (v7.0) contains 1,134,942 gene-disease associations (GDAs), between 21,671 genes and 30,170 diseases, disorders, traits, and clinical or abnormal human phenotypes, and 369,554 variant-disease associations (VDAs), between 194,515 variants and 14,155 diseases, traits, and phenotypes. The data are homogeneously annotated with controlled vocabularies and community-driven ontologies. Additionally, several original metrics are provided to assist the prioritization of genotype-phenotype relationships. The information is accessible through a web interface, a Cytoscape App, an RDF SPARQL endpoint, a REST API, and an R package.

FCP is a publicly accessible web tool dedicated to analysing the current state and trends on the population of available structures along the classification schemes of enzymes and nuclear receptors, offering both graphical and quantitative data on the degree of functional coverage in that portion of the proteome by existing structures, as well as on the bias observed in the distribution of those structures among proteins.

The PR2 reference sequence database began as part of the BioMarks project from previous work in the Plankton Group of the Station Biologique of Roscoff. It aims to provide a reference database of carefully annotated 18S rRNA sequences using nine unique taxonomic fields (from domain to species). At present, it contains over 240,000 sequences. Although it focuses on protists, it also contains sequences from metazoa, fungi and plants as well a limited set of 16S sequences from plastids and bacteria. Several metadata fields are available for many sequences, including geo-localisation, whether it originates from a culture or a natural sample, and host type. The annotation of PR2 is performed by experts in each of the taxonomic groups.

The DARIAH-DE repository is a digital long-term archive for human and cultural-scientific research data. Each object described and stored in the DARIAH-DE Repository has a unique and lasting Persistent Identifier (DOI), with which it is permanently referenced, cited, and kept available for the long term. In addition, the DARIAH-DE Repository enables the sustainable and secure archiving of data collections. The DARIAH-DE Repository is not only to DARIAH-DE associated research projects, but also to individual researchers as well as research projects that want to save their research data persistently, referenceable and long-term archived and make it available to third parties. The main focus is the simple and user-oriented access to long-term storage of research data. To ensure its long term sustainability, the DARIAH-DE Repository is operated by the Humanities Data Centre.

LW ERIC is the e-Science European Research Infrastructure for Biodiversity and Ecosystem Research. It provides access to a multitude of datasets, e-Services and tools enabling the construction and operation of Virtual Research Environments (VREs) through innovative technologies, which permit the accelerated capture of data, their analysis and knowledge-based decision-making support for biodiversity and ecosystem management. It can be split into 2 groups of services: BER_e-Infra & BER_VREs. BER_VREs consists of 3 cutting-edge technologies: LifeBlock, a Blockchain technology for transparency and immutability, guaranteeing FAIR-compliant data. Tesseract, the technical composability layer to integrate web services, enabling the development of VREs for users to combine and arrange services and software into multiple workflows. The Artificial Intelligence virtual laboratory (vLab), an online service allowing users to locate others working on similar subjects and the hubs that link them. Within BiCiKL, LW ERIC will support virtual access to BER_VREs.