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.


  • Plan and structure your PhD program
  • Concepts and basics of Project and Time management
  • Time Management
  • Digital Tools for Science Project Management
  • FAIR Data Management & Open Data
  • Agile Kanban for Science
  • Project Monitoring & Evaluation
  • Digital Tools for Scientists

The agenda may include

Day 1: Focus on Research Project Management (RPM)
Welcome and introductory discussion – Identifying expectations and core questions

(1) Components, procedures and goals for RPM
– identifying reasons and beneficiaries
– listing proven concepts and components
– discussing procedures and best practices

(2) Planning ahead: from Research Proposal to Dissertation
– Preregistration and monitoring
– GSP and Research Documentation, F.A.I.R Data Management
– Short summary and elevator pitch of your PhD thesis

(3) Digital tools and platforms for the research workflow
– Electronic Laboratory Notebooks
– Digital PM tools & the Kanban concept
– Data privacy and security, Intellectual Property and Licensing

Closing session & outlook on day 2 – Open questions & Feedback

Day 2: Focus on Time Management & Open Science Communication

Welcome and introductory discussion incl. recap of day 1 – Identifying expectations and core questions

 (1) Time-efficient project planning – proven time management strategies and concepts – scheduling off times, dependencies and unexpected results – know yourself and your peak performances

(2) Task lists, calendars and deadlines
– Treating time as a limited resource
– pros and cons of task lists
– Time planning: analog vs. digital

 (3) How Open Science is speeding up the research cycle
– Vienna Principles of OA Scholarly Communication
– identifying time-savers and efficacy factors in OS practices

 (4) Monitoring progress over time
– Setting priorities and scheduling the day, week, month, dissertation
– Develop your own TM strategy

Closing session
– Open questions, Feedback
– Discussing implementation and knowledge transfer

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