The Research Data Service team (from left): Helen George (student assistant), Finn Opätz, Dr. Philipp Gies, Sebastian Swirski, Birte Hemmelskamp-Pfeiffer, Alexandra Nozik
The Research Data Service supports ZMT researchers and tropical partners with tailored solutions for efficient research data management (RDM). The team develops and operates data infrastructures, workflows, and tools to optimize data collection, processing, and publication. Our expertise includes institutional and applied RDM in the natural and social sciences, as well as geospatial data.
Through workshops, events, and collaborations, we share our knowledge – with a focus on tropical research data. Our goal is to enhance data accessibility, reproducibility, and long-term usability, ensuring management aligns with best practices.
Demand-Oriented Services and Products & Customised Training
- Strategic planning on demand-oriented services and products, coordination of group activities, training, data management plans & budget planning, (inter)national networks (Birte Hemmelskamp-Pfeiffer)
- Development of technical workflows, technical assistance and administration for ZMT DataCloud & ZMT DataLab (Sebastian Swirski)
- Training and advise on data collection with digital tools, Research Data Management Workshop series (Alexandra Nozik)
- Support in the management of natural science data, and data submissions to PANGAEA (Finn Opätz)
- Support in the management of social science data (Philipp Gies)
- Technical support for tools and services (Sree Charulatha)
General questions:
Services and Products
- Storage for research data & collaboration platform: ZMT DataCloud (get a DataSpace)
- Platform for collaborative data analysis: ZMT DataLab (registration)
- Search & find ZMT Research Data: ZMT DataPortal
Policies and Guidelines
- Research Data Policy
- Data Management Guidelines (available soon)
Contacts