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Research data management
Research data management (RDM) is an important topic with increasing relevance for academics. Due to recent examples of researchers committing fraud by falsifying or manipulating research data, this topic has attracted a lot of attention. These examples of fraud resulted in a Taskforce Scientific Integrity at the EUR, which recommended the introduction of research data management for researchers. For students, it has led to stricter supervision and attention to plagiarism.
Watch the video to learn more: The what, why and how of data management planning (5:31).
The benefits of managing your data include:
- Ensuring research integrity and reproducibility.
- Increasing your research efficiency.
- Ensuring research data and records are accurate, complete, authentic and reliable.
- Enhancing data security: minimising the risk of data loss, corruption, unreadability (now or in the future).
- Enabling others to (re)use your data.
- Complying with best practices in RDM.
In each stage of the research life cycle different requirements are identified. We distinguish the following stages:
- Research planning
The Checklist for a Data Management Plan (PDF) contains questions about data that arise during the research cycle. You can find the institutional DMP template of EUR on the EUR website.