|Dates||Start time||End time||Coordinator||registrations
|17, 24 and 31 March 2022||09:00||12:00||Maria van Soelen||24 / 25||Apply|
|2, 9 and 16 June 2022||09:00||12:00||Maria van Soelen||8 / 25||Apply|
This course is offered by Wageningen Graduate Schools and organised by WUR Library. It consists of lectures and practical assignments that cover various aspects of managing research data: from organising your data files during data collection to publishing your final dataset.
The course structure follows the order of data management topics in the WUR data management plan template. This structure allows participants to fill in or update their data management plan during the course.
Part 1 focuses on what data management is, deals with data storage options and the support and services available at WUR. Part 2 deals with how to keep your data organised, how to document your data and why to share it. Part 3 goes into how to prepare your data for the future, where and how to look for suitable repositories and data licences.
You are obliged to take all three parts.
|Target Group:||PhD's and postdocs|
|Group size:||25 participants|
|Course duration:||3 hours each part, 9 hours in total|
|Credit points:||0.45 ECTS|
|Self-study hours||1 hour each part, 3 hours in total|
|Name lecturer:||Irene Verhagen (course leader) and Shauna Ní Fhlaithearta|
Part 1: What is data management and where to store your data.
At the end of part 1 you will:
- be able to define research data and research data management;
- be familiar with the data management requirements, support and services at WUR;
- be familiar with the concept of FAIR data;
- be introduced to data management plans;
- be familiar with the data storage solutions at WUR;
- understand the (dis)advantages of different storage options.
Part 2: How to set up your data collection system, how to document your data and why share it?
At the end of part 2 you will:
- understand how to systematically organise folders and (versions of) files;
- know how to keep research notes to make a dataset understandable;
- understand the importance of making research data available to others;
- know how to prepare a data set for submission to a repository.
Part 3: How to make your data future-proof.
At the end of part 3 you will:
- be aware of issues concerning privacy when working with people;
- know how to select and prepare your data for the future;
- know where and how to look for suitable repositories for your data;
- be familiar with different open data licenses and their implications.
|1. Reduced fee: PhD candidates of Wageningen University with an approved Training and Supervision Plan (TSP) and postdocs of Wageningen University that are registered at one of the graduate schools of Wageningen (EPS, PE&RC, VLAG, WASS, WIAS, WIMEK)||€ 120,-|
|2. Full fee: All other PhD candidates / post-docs and staff of Wageningen University||€ 240,-|
|3. Extended fee: All other participants||€ 480,-|
Fee includes study and training material and coffee/tea.
Until 1 month before the start of the course, you can cancel free of charge. After this date you will be charged with the “Full Fee”.
Exemption of payment:
When there is a replacement (who you can propose, in this case please inform the course coordinator) you will only be charged with €50.
- For PhDs and post-docs of Wageningen University: when you have a valid reason (circumstances beyond your control) to cancel, you will be charged the reduced fee. In this case a written statement of the supervisor/superior is required.
Note: When you do not have a valid reason to cancel or do not show up at courses that are free of charge you will be charged with €100.
For more information please contact firstname.lastname@example.org