Scientists often run three or more highly complex projects in parallel. On top of that, a growing number of publishers and funding agencies require scientists to make their raw data available upon publication according to the four foundational principles – Findability, Accessibility, Interoperability, and Reusability (FAIR). To ensure goal-oriented and time-efficient management of both raw data and scientific projects we will discuss selected established as well as emerging tools and techniques complementing the basic principles of classical project management.
Modules
- Plan and structure your PhD program
- Concepts and basics of Project and Time management
- Time Management
- Digital Tools for [Open] Science Project Management
- FAIR Data vs. Open Data
- Agile Kanban for Science
- Project Monitoring & Evaluation
- Digital Tools for Scientists
Our Project Management Experts
