Data Science and Data Management

The CEPLAS data management team makes CEPLAS data FAIR (Findable - Accessible - Interoperable - Reusable) and supports all CEPLAS members during all phases of the research data cycle, from planning an experiment, over collecting (meta)data, processing and analysis of the data, publishing and sharing as well as archiving and re-using.

• FAIR solutions for storage and organization of data
• Repositories for data deposition
• Common principles for design and analysis of large-scale experiments
• Node to CEPLAS datasets
• Data literacy
• Digitalization of research data management