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).

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Related material & further reading

Guidelines on research data management, including on FAIR

FAIR Principles

Data Management Plans

Data Repositories

Research Data Management resource websites


Promotion and LMS integration

All institutions are invited to download the modules and integrate these in their local LMS (Learning Management Systems).

Please find guidelines and the file packet to do this here.

Promotion at your local institution is key. Please find inspiration on how to create awareness and disseminate the RDM training.