Effective research data management (RDM) is more than just a compliance requirement - it's a practical tool that simplifies your workflow, strengthens your research, and enhances the impact of your publications. This training is designed to help researchers embed RDM practices into their projects from the very beginning, always keeping the publication process in focus. 

Objectives

• Define key concepts such as Research Data Management (RDM), FAIR data, Open data, and Personal and Sensitive Data.
• Identify reliable sources and institutional resources that support RDM practices.
• Evaluate the components of the Data Management Plan and justify its relevance to research projects.
• Recognize the ethical and legal implications of data handling under GDPR.
• Organize research data and documentation in a structured and standardized format.
• Apply appropriate metadata standards to describe datasets effectively
• Explain the role of data documentation in enhancing publication quality and reproducibility.
• Distinguish between general and discipline-specific repositories for data sharing.
• Select and appraise repositories for depositing research data. 

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Organized by VIB Training and Conferences and ELIXIR Belgium