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.
Course content
- 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
Suggested agenda
Day 1: Focus on Research Project Management (RPM)
| Welcome and introductory discussion – Identifying expectations and core questions | 15 mins |
| (1) Components, procedures and goals for RPM – identifying reasons and beneficiaries – listing proven concepts and components – discussing procedures and best practices | 40 mins |
| (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 | 40 mins |
| (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 | 40 mins |
| Closing session & outlook on day 2 – Open questions & Feedback | 15 mins |
Day 2: Focus on Time Management & Open Science Communication
| Welcome and introductory discussion incl. recap of day 1 – Identifying expectations and core questions | 10 mins |
| (1) Time-efficient project planning – proven time management strategies and concepts – scheduling off times, dependencies and unexpected results – know yourself and your peak performances | 45 mins |
| (2) Task lists, calendars and deadlines – Treating time as a limited resource – pros and cons of task lists – Time planning: analog vs. digital | 45 mins |
| Tea & coffee break | 10 mins |
| (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 | 45 mins |
| (4) Monitoring progress over time – Setting priorities and scheduling the day, week, month, dissertation – Develop your own TM strategy | 45 mins |
| Closing session – Open questions, Feedback – Discussing implementation and knowledge transfer | 10 mins |
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