Data Science and Data Management

The CEPLAS data management team makes CEPLAS data FAIR (Findable - Accessible - Interoperable - Reusable) and supports you 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


Data Management Virtual Office Hours

Please feel free to join our virtual office hours to discuss your needs for FAIR data management

Every Friday | 2 - 4 pm (except on CEPLAS Fridays)

Note: Kindly drop us an email with a brief agenda or outline, latest by Thursdays.

Visit us via Zoom

Academic Experts in Data Science

Dr. Dominik Brilhaus
Dominik Brilhaus


+49 211 81 15523

Data Science and Management
Heinrich Heine University Düsseldorf

Universitätsstr. 1

22.07 level U1  43, Postbox 002

40225 Düsseldorf

Dr. Hajira Jabeen


+49 221 47089997

Data Science and Management
Botanical Institute, Cologne Biocenter
University of Cologne

Zülpicher Str. 47b

Room 304.4.601  

50674 Cologne

Heinrich Heine University
University of Cologne
Max Planck Institute for Plant Breeding Research
Forschungszentrum Jülich