eLearning course about the importance of good research data management (RDM)

Within the framework of the Danish National Forum for Data Management, the Danish Universities have developed the eLearning course “Research Data Management”.

Course contents

The course is divided into three independent modules. Each module consists of a 20 min video recording (including animations and interviews) that can be taken at the learners’ own pace and may be complemented with face-to-face training. The target audience of the course is PhD students, researchers and research support staff who would like an introduction to the general concepts and terms used in research data management. However, others are also welcome to take the course, it is open to all.

Module 1: Introduction

Learning Objectives: - At the end of this section, the learner can…

Understand the importance of managing research data
Know how the main actors within research data management (RDM) can affect research
Identify different types of research data in various disciplines
Realize what RDM entails when looking at the Research Data Lifecycle

Module 2: FAIR Principles

Learning Objectives: At the end of this section, the learner can…

Identify key elements that help make research data Findable, Accessible, Interoperable and Re-usable
Understand how these key elements are applied in different research disciplines and different research workflows
Distinguish between FAIR data and open data

Module 3: Data Management Plans

Learning objectives - At the end of this section, the learner can…

Understand the added value of making data management plans in research projects
Identify challenges in projects in relation to research data management
Identify stakeholders that require a DMP and know how to begin making a DMP, including which topics to cover

Take the course

Module 1: Introduction	Module 2: FAIR principles	Module 3: Data Management Plans

Reference: Vlachos, E., Larsen, A.V., Zurcher, S., Hansen, A.F. (2019). ‘Introduction’. In: Holmstrand, K.F., den Boer, S.P.A., Vlachos, E., Martínez-Lavanchy, P.M., Hansen, K.K. (Eds.), Research Data Management (eLearning course). doi: 10.11581/dtu:00000048	Reference: Martínez-Lavanchy, P.M., Hüser, F.J., Buss, M.C.H., Andersen, J.J., Begtrup, J.W. (2019). ‘FAIR Principles’. In: Holmstrand, K.F., den Boer, S.P.A., Vlachos, E., Martínez-Lavanchy, P.M., Hansen, K.K. (Eds.), Research Data Management (eLearning course). doi: 10.11581/dtu:00000049	Reference: den Boer, S.P.A., Buss, M.C.H, Hüser, F.J., Smed, U. (2019). ’Data Management Plans’. In: Holmstrand, K.F., den Boer, S.P.A., Vlachos, E., Martínez-Lavanchy, P.M., Hansen, K.K. (Eds.), Research Data Management (eLearning course). doi: 10.11581/dtu:00000050

To cite the full course:
Holmstrand, K.F., den Boer, S.P.A., Vlachos, E., Martínez-Lavanchy, P.M., Hansen, K.K. (Eds.) (2019). Research Data Management (eLearning course). doi: 10.11581/dtu:00000047

This eLearning course in Research Data Management is brought to you by the Danish National Forum for Data Management, and is funded by Denmark’s Electronic Research Library (DEFF) and the Danish eInfrastructure Cooperation (DeiC).

This work is licensed under a Creative Commons Attribution 4.0 International License.