ELIXIR-LU – ELIXIR Luxembourg

ELIXIR-LU, the Luxembourg ELIXIR Node, is based at the LCSB. The Node focuses on long-term sustainability of tools and data for translational medicine. Translational medicine data integrate clinical information with molecular and cellular data for a better understanding of diseases. They bridge the gap between the molecular level, findings from the laboratory, and the clinical observations and applications. ELIXIR-LU facilitates long-term access to those research data. This allows the reuse of previously generated translational medicine data to address new research questions and dramatically save time and costs.

With ELIXIR-LU we want to overcome the major hurdles in the availability of biomedical data for a wider research community: fragmentation of data types, different terminologies and the legal challenges of sharing personal data. Through suitable data management systems that collect and integrate all types of data, support in the curation and harmonisation of clinical data and secure data hosting and analysis platforms we will open up existing translational medicine data to the research community.

ELIXIR-LU promotes and further develops quality and security of data processing, data stewardship and GDPR compliance in biomedical research on the national and the international level. Activities include a national GDPR working group for scientific research and Horizon 2020-funded projects such as ELIXIR-CONVERGE, B1MG, FAIRplus, Smart4Health, HealthyCloud and BY-COVID.

ELIXIR-LU offers the following services, available for life science researchers as well as biomedical stakeholders in the EU and worldwide:
• Secure storage and access management: GDPR compliant data sharing
• Data Catalogue: help researchers to find interesting data
• Disease maps: enabling better understanding of diseases
• Tools: sharing and mining the data
• User training: proficiency in data literacy

Workshops and courses on translational medicine data management, processing, standards and structures, analytics, and visualisation as well as reproducibility in research.