> For the complete documentation index, see [llms.txt](https://data-champions.renew-platforms.dk/renew-data-champions/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://data-champions.renew-platforms.dk/renew-data-champions/research-data-management/data-life-cycle/analyze-and-collaborate-stage/data-storage.md). # Data Storage ## **Data Storage, Collaboration, and HPC Resources at UCPH** ## **Introduction** Biomedical research at **reNEW – The Novo Nordisk Foundation Center for Stem Cell Medicine, UCPH,** is data-intensive, often involving large imaging datasets, sensitive patient information, and complex analyses. Effective **Research Data Management (RDM)** ensures data security, meets legal and ethical obligations (including GDPR compliance), and supports high-quality, reproducible science. A critical component of RDM is **data storage management** throughout the **Research Data Lifecycle**. Each stage—from planning to archiving—requires careful consideration of storage infrastructure, data privacy, security protocols, and collaboration needs, especially in projects that involve personal data or multi-institutional teams. This guide provides an overview of best practices and the University of Copenhagen (UCPH) facilities supporting data storage, sharing, and high-performance computing (HPC) tailored to the needs of biomedical researchers at reNEW. ## **UCPH Data Storage and Collaboration Solutions** Below is a summary of UCPH facilities suited to various data types and collaboration needs: ### **Personal Drive** * For individual use ([Windows](https://kunet.ku.dk/work-areas/research/data/facilities-for-data-storage-and-sharing-in-active-projects/Pages/default.aspx#collapseMSOZoneCell_WebPartWPQ8)/[Linux](https://kunet.ku.dk/work-areas/research/data/facilities-for-data-storage-and-sharing-in-active-projects/Pages/default.aspx#collapseMSOZoneCell_WebPartWPQ14)) * Suitable for small amounts of non-sensitive research data * Not designed for sharing with collaborators ### **Shared Network Drive -** [**Windows**](https://kunet.ku.dk/employee-guide/Pages/IT/Network-drives.aspx?searchHitHighlight=network%20drives) **/**[ **Linux**](https://kunet.ku.dk/work-areas/research/data/facilities-for-data-storage-and-sharing-in-active-projects/Pages/default.aspx#collapseMSOZoneCell_WebPartWPQ14) * For collaboration among UCPH employees * Ideal for research groups needing shared access * Not suitable for storing sensitive or personal data ### **S-Drive (**[**Shared Drive for Sensitive Data**](https://kunet.ku.dk/employee-guide/Pages/IT/S-drive.aspx)**)** * Designed for sharing sensitive data among designated UCPH users * Complies with GDPR * Suitable for storing and sharing confidential or personal data internally ### **Microsoft** [**OneDrive**](https://kunet.ku.dk/work-areas/research/data/facilities-for-data-storage-and-sharing-in-active-projects/Pages/default.aspx#collapseMSOZoneCell_WebPartWPQ7) **for Business** * Cloud storage meeting UCPH security standards for **non-sensitive data** * Up to 5TB for sharing with colleagues and external partners * Covered by a data processing agreement with Microsoft * Recommended cloud solution (note: Dropbox and other providers do *not* have such agreements with UCPH) ### [**ERDA**](https://www.erda.dk/) **(Electronic Research Data Archive)** * Managed by the HPC Center, Faculty of Science * Centralized storage, archiving, and synchronization service * Ideal for non-sensitive research data ### **Sensitive Information Facility (**[**SIF**](https://sif.ku.dk/)**)** * For storing and sharing **sensitive information**, including personal data * Enables secure sharing with UCPH and external partners * Requires GDPR compliance and pre-approval * Currently provided by the SCIENCE HPC Center; expansion to all UCPH researchers under consideration. #### [**DATA DOI**](https://kunet.ku.dk/work-areas/research/data/data-sharing/data-doi) **Service** * Built on ERDA * Data sharing is open to all UCPH employees. * Facilitates assigning DOIs to datasets for findable, citable research outputs ## **UCPH Policy for Research Data Management** [**UCPH Policy for Research Data Management**](https://kunet.ku.dk/work-areas/research/data/Documents/UCPHPolicyforResearchDataManagement2022-EN.pdf) emphasizes: * Choosing an appropriate, secure infrastructure * Supporting collaboration while ensuring compliance with information security policies and legal requirements * Protecting personal data in line with GDPR
Researchers at **reNEW** must carefully select solutions that meet their data sensitivity and collaboration needs while upholding UCPH policies. ## **High-Performance Computing (HPC) for Biomedical Research** Biomedical research at reNEW often involves large-scale imaging analyses, computational modeling, and multi-omics integration that require **HPC resources**. UCPH offers access to both local and national HPC systems tailored to diverse research needs: #### **Key National HPC Systems Available to UCPH Researchers** ### **Type 1 – Interactive HPC** * Focus on interactivity and easy user access * Includes **YouGene Cluster** hosted at UCPH (via UCloud) * Supports iterative data exploration and analysis ### **Type 2 – Throughput HPC** * Optimized for high-volume data processing * Systems include **Computerome 2.0**, **GenomeDK**, and **Sophia.** * Suitable for large-scale, batch analyses ### **Type 3 – Large Memory HPC** * Designed for workloads needing large, globally addressable memory * Hosted at UCPH * Ideal for complex, memory-intensive biomedical simulations ### **Type 5 – LUMI Capability HPC** * Pan-European pre-exascale system * Located in Finland (EuroHPC initiative) * Suitable for cutting-edge, large-scale computational needs ## **Special Note: DAN HPC at reNEW** * Owned by DanStem/reNEW, SUND, CGEN/ICMM, CPR at SUND, co-admin with KU * Shared CPU server for Genomics Data Analysis * Specialized GPU node for **image data analysis** * Connects large datasets stored on KU-IT storage for advanced computation * See[ DAN System User Guide](https://sgn102.pages.ku.dk/a-not-long-tour-of-dangpu/) for more information ### **Access and Support** * **UCloud** provides a user-friendly interface for accessing many of these HPC resources, with guidance and application processes streamlined for researchers. * Support is available via UCPH IT and the Faculty of Science HPC Center.
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