Local Data Hub

Local Data Hubs - business card and portal for the research data management of your institution

With the Local Data Hub (LDH), we deliver a turnkey web solution for transparent and FAIR data sharing and for access to further NFDI4Health services.

From the search in the German Central Health Study Hub or via your web pages, interested parties can access the projects at your local research data management platform - the Local Data Hub. Here, detailed supplementary resources such as study protocols, data sets, references to publications, repositories, registers, analysis platforms are networked and presented in context. The tool (FAIRDOM SEEK) has already been established and is being further developed and optimised together with the international community via NFDI4Health to meet the needs of clinical trials, epidemiological cohorts and public health studies. Institutions, contact persons and authors, sponsors and funding programmes, presentations and studies and much more are cross-linkable and searchable. Access to resources can be opened publicly, to a group, only locally or to a few people. Existing, heterogeneous data & project portals thus may become superfluous. The web-based solution allows various forms of operation - fully operated on your premises or centrally hosted (software-as-a-service). NFDI4Health provides support with installation and training.

The LDH is the local node in the federated concept of NFDI4Health. We develop and promote the dissemination of a unified data sharing platform based on the FAIR principles in line with the NFDI4Health standards, connecting the centralised and decentralised services of the network for the international community.

Health Study Hub

The German Central Health Study Hub allows researchers to publish their project characteristics, documents and data related to their research project in a FAIR manner or to find information about past and ongoing studies.

Data Train

The Data Train cross-disciplinary graduate training programme, a core element of the NFDI4Health training approach, aims at building the next generation of data-savvy researchers in the biomedical sciences.

Personal Health Train

To foster data-driven innovation in medicine, we developed a distributed analysis infrastructure that enables research on sensitive data without prior data sharing while supporting diverse data formats.

Local Data Hub

The LDH is the local node in the federated concept of NFDI4Health. We develop and promote the dissemination of a unified data sharing platform based on the FAIR principles in line with the NFDI4Health standards.

Data publication

Health data, as collected in clinical trials and epidemiological, as well as public health studies, cannot be freely published, but are valuable datasets whose reuse is of high importance for health research. NFDI4Health has established a metadata standard and process for the publication of health studies to make health data FAIR.

Data harmonisation

To make health studies and their data FAIR we have developed guidelines and standards for metadata description and data sharing. We have developed data publication guidelines, common metadata description standards and adaptations of health data interoperability standards to harmonize the description of studies and their corresponding metadata.

Data Quality Assessment

It is a paradox: on the one hand, good scientific work depends on high data quality. On the other hand, a lot of effort is put into the design and conduct of studies, but not into data quality assessments. We help to facilitate the efficient performance of such assessments with versatile concepts and tools

DataSHIELD

Expansion of decentralised research projects with DataSHIELD: Until now, data protection concerns and the lack of special IT infrastructure have prevented the expansion of cross-institutional research projects. DataSHIELD is intended to solve that problem.