Information about the Library course: Research Data Management.

The Research Data Management (RDM) course covers various aspects of managing research data. From organising your data files during data collection to publishing your data set. The course consists of lectures and practical assignments. The course structure follows the order of RDM  topics in the WUR data management plan template, which allows you to fill in or update your data management plan during the course.

The first part of the course focuses on what RDM  is, what your data storage options are, and which support and services are available at WUR. The second part of the course explains how to keep your data organised and how to document your data. The third and final part of the course teaches you how to prepare your data for the future, where and how to look for suitable data repositories and data licenses.

This course is offered by Wageningen Graduate Schools and organised by WUR Library.

Content

After part 1, you will:

• be able to define research data and RDM;
• be familiar with the RDM 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; and
• understand the (dis)advantages of different storage options.

After part 2, you will:

• understand how to systematically organise folders and (versions of) files;
• know how to keep research notes to make a data set understandable;
• Understand data ownership
• Intellectual property rights of data
• know how to prepare a data set for submission to a repository.

After part 3, you will:

• be aware of how to work with (personal) sensitive data ;
• know how to select and prepare your data for the future;
• Understand the importance of making research data available to others;
• know where and how to look for suitable repositories for your data; and
• be familiar with different open data licenses and their implications.

Practicalities

Target group: WUR PhDs and postdocs.

When & where: The course consists of 9 contact hours, divided into three sessions of 3 hours each. You can find the exact dates and times in the calendar on the Library website.

Credit points: 0.45 ECTS. You have to participate in all three parts of the course to receive the credits and certificate.

Fee: This is a fee-based course. Please refer to the course information on the WGS website for additional details.

Language: This course is given in English.

Prerequisite knowledge: There is no prerequisite knowledge needed for this course.

How to register: Please, apply through the registration form on the course page.

Questions& Support

Do you have questions about this service, or would you like personal support? Feel free to contact us. You can send an email to data@wur.nl.