eLearning course about the importance of good research data management (RDM)
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 |
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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.
Related material & further reading
Guidelines on research data management, including on FAIR
- Danish Code of Conduct for Research Integrity
- European Commission: Guidelines on FAIR Data Management in Horizon 2020
- European Commission: Open access & Data management
FAIR Principles
- The path to a successful research project (poster)
- FAIR across disciplines
- Foranalyse: indførelse af FAIR data i Danmark
- The FAIR Guiding Principles for scientific data management and stewardship
Data Management Plans
Data Repositories
- Consortium of European Social Science Data Archives
- Registry of Research Data Repositories
- Rigsarkivet
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.