The repository serves as a national storage facility for imaging data documenting herbarium specimens, particularly high-resolution scans and photographs of plants and fungi, including accompanying field photographs and detailed images linked to specific herbarium specimens. It is intended for institutions managing herbarium collections, especially museums, universities and research institutes. The repository provides a centralised solution for the long-term archiving, management and access to imaging data, enabling individual institutions to use shared infrastructure without having to maintain extensive storage capacities themselves or address technical interoperability with international data systems and aggregators. Before publication, image records undergo defined checks as part of the import process. They are subsequently published with links to the international JACQ database system and the global biodiversity data aggregator GBIF. The repository also ensures the long-term availability and persistence of deposited data and is designed to support further development and the integration of tools for automated image data processing.

The Biodiversity Reference Data Repository is a centralised national repository designed for the systematic preservation, management and access to unambiguously classified reference data from the fields of botany, mycology, protistology and zoology. It primarily includes high-quality imaging data of living organisms, their communities and detailed microscopic structures, such as pollen grains, as well as imaging data from biomonitoring activities, including bulk insect sampling, and specialised cytogenetic data used in research on organismal diversity and evolution. The repository provides a unified infrastructure solution based on the Invenio platform within the National Repository Platform (NRP), replacing the current fragmentation of data and offering storage capacity suitable for large-volume datasets. It supports data management in accordance with the FAIR principles, controlled access through AAI within the National Data Infrastructure (NDI), and persistent citability of deposited records. Through its integration within the NRP biodiversity repository cluster and its connections to international initiatives and aggregators, particularly ESFRI DiSSCo.eu and JACQ, the repository supports the long-term availability, methodological standardisation and interoperability of national data at both European and global levels. The data can be used for basic and applied research, including the training of advanced AI classification models, as well as for nature conservation and the presentation of biodiversity to the wider public.

The repository will provide a centralised platform for storing, managing and openly sharing biomonitoring data on wild organisms. It will bring together biodiversity data obtained through metabarcoding analysis of environmental samples and data generated using flow cytometry, facilitating their long-term preservation, integration and further reuse. By connecting previously fragmented data sources and improving data availability for the research community, the repository will contribute to the development of biodiversity research and strengthen collaboration and data sharing across scientific disciplines. As part of the biodiversity.cz cluster of biodiversity repositories, it will contribute to a deeper understanding of biodiversity and how it changes over time.

The GENASIS environmental information system has been developed over the past two decades as a repository for the integrated presentation of research data on chemical contamination across different environmental compartments, including ambient air, precipitation, surface water, sediment and soil. Its main strength lies in its ability to receive and harmonise data from a wide range of providers, perform quality control, cleaning and transformation into a unified structure, thereby significantly improving data comparability and usability for subsequent analyses. As part of its modernisation, the repository will be expanded to include new types of matrices, such as human tissues including blood and urine, as well as newly monitored substances. The metadata model will be fully compatible with standards being developed within the European Partnership for the Assessment of Risks from Chemicals (PARC).

The new repository is designed as a central hub for integrating spatially referenced data from different scientific domains, which is a key prerequisite for studying the effects of the environment on individual and population health. Its main function is to enable the integration of geographic information system layers from diverse sources – ranging from maps of air, soil and water pollution to data on natural disasters, climatic conditions and socioeconomic indicators – into a single functional environment that makes it possible to quantify environmental risks in specific locations. The solution also includes geoprocessing services that provide derived information from all available layers based on specified spatial coordinates. This makes the outputs accessible even to experts who do not use specialised geographic software.

The Expo-OmiCZ repository extends the GENASIS system by providing storage for data from untargeted screening using mass spectrometry. This approach makes it possible to capture a broad range of chemical substances in samples, including those that were not anticipated in advance, and supports research into the human exposome. The repository stores data ranging from raw chromatographic and mass spectrometric records to identified and quantified results. It enables data to be reprocessed using new analytical methods and supports future integration with genomic and other omics data. Reproducibility will be supported by a secure research environment and by documenting the methods, parameters and versions of analytical tools used. A standardised metadata model based on CCMM and supporting interoperability with FEGA and Metabolomics Hub will facilitate data description, traceability and discovery. The repository will support open access to available data as well as the discovery of controlled-access data and the conditions governing their availability.

This repository addresses a missing link in the chemical risk assessment chain. Assessing the hazards associated with environmental contamination requires not only information on the occurrence of chemical substances, but also data on their harmful effects on living organisms. At present, there is no single global repository for toxicological data, and such information is largely scattered across scientific publications. In cooperation with the European Partnership for the Assessment of Risks from Chemicals, the new repository will therefore develop a structure and metadata model enabling the systematic storage and sharing of data on the toxicity of individual substances. The repository will also support the modern concept of adverse outcome pathways, which describes the biological mechanisms through which toxic substances exert their effects across different stressors.

The repository is a centralised national infrastructure designed for the long-term archiving, systematic management and access to imaging data and 3D digital models of scientific zoological collections. Deposited records integrate both visual documentation of collection items representing a wide range of animal groups and related spatiotemporal occurrence data. The repository is intended for institutions managing zoological collections, particularly universities, research institutes and museums. It enables them to use shared infrastructure without the need to build and maintain extensive storage capacity independently or address technical interoperability on their own. A unified infrastructure solution based on the Invenio platform within the National Repository Platform (NRP) replaces the current fragmentation of data and provides sufficient capacity for large and complex datasets. The repository supports data management in accordance with the FAIR principles, methodological standardisation of records through a dedicated metadata model as part of the import process, and persistent citability of deposited records. Through connections to the international ESFRI DiSSCo research infrastructure (DiSSCo.cz) and the global aggregators GBIF and GGBN, the repository supports the long-term availability, compatibility and interoperability of national zoological data at both European and global levels.