SCIENCE HPC Centre
SCIENCE HPC Centre is the central data management and e-infrastructure facility at SCIENCE. The centre is responsible for the development and operation of facilities related to the storage, sharing, calculation, analysis and publication of research data.
It ensures that SCIENCE’s researchers and students can seamlessly share and process large volumes of data across the University as well as with external partners.
‘HPC’ is an abbreviation of ‘high performance computing’ and covers calculations carried out on computers that are faster and larger than conventional computers.
Storing and sharing research data
We offer systems for storing your research data, with the option of flexible sharing with both internal and external partners. The Electronic Research Data Archive (ERDA) is for general research data and has a series of additional functions, while SIF is specifically intended for sensitive data, which is subject to, e.g., the EU General Data Protection Regulation (GDPR).
Key functions
Easy sharing of research data with internals and externals
Can be used as a network drive for internals and externals
Data archiving for research publications
File synchronisation via Seafile
Interactive data analysis (DAG/HEL/MODI)
Presentation and visualisation (MIST)
Who can use it?
All UCPH employees and students
External partners
Read more at https://erda.ku.dk
Get help from support@erda.dk
Key functions
Security-approved storage of sensitive data, including personal data
Easy sharing of research data with internals and externals
Can be used as a network drive for internals and externals
Who can use it?
All UCPH employees can create projects
Students and external partners can be invited and gain access to the project
Read more at https://sif.ku.dk
Get help from support@sif.erda.dk
Supercomputers and data analysis
SCIENCE HPC Centre provides solutions related to High Performance Computing. The solutions range from user-friendly interactive data analysis and small learning environments to customised HPC systems and classic HPC cluster computers for heavy calculations.
Key functions
JupyterLab for easy interactive data analysis
R Studio
Access via ERDA
Direct access to ERDA data
Who can use it?
All ERDA users
Get help from support@erda.dk
Key functions
JupyterLab for easy interactive data analysis
Accelerators for Artificial Intelligence (AI) computing
Access via ERDA
Direct access to ERDA data
Who can use it?
All ERDA users
Get help from support@erda.dk
Key functions
HPC setup for simulation and data analysis
Access via ERDA
Direct access to ERDA data
Who can use it?
All ERDA users
Get help from support@erda.dk
SCIENCE research groups can help to select components and design their own HPC systems with hosting and operation at the HPC Centre.
Key functions
Customised HPC setup for simulation and data analysis
Who can use it?
Research groups at UCPH.
Get help from support@hpc.ku.dk
Data publication and visualisation
Your research first really proves useful, when it’s published! You can use ERDA Archives and associated digital object identifiers (DOI) to publish the underlying data in connection with your publications in line with the Open Science and the FAIR principles. ERDA MIST is a cloud solution that enables you to freely present and visualise your research and results online.
Key functions
Created via ERDA
Can be published online with static URL
Availability is guaranteed for at least 10 years
Option to connect card DOI and meta data
Who can use it?
All ERDA users can create Archives
UCPH employees can get DOI for Archives
Get help
Visit the research portal on the UCPH intranet to learn how to assign a DOI to your research data.
Key functions
Access via ERDA
Efficient access to ERDA data
Cloud solution for, e.g.:
Retrieving data to ERDA from external instruments
Presenting and interacting with ERDA data through a web portal
Who can use it?
All ERDA users
Get help from support@erda.dk
Do you need help, or do you have any questions? You can find contact information for the various facilities in the above drop-down menus.
Staff
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