Responsible Research Data Management
In a research project, data is of utmost importance. Its nature, quality and quantity have an impact on all stages of a scientific research, from designing the methodology to timing, budgeting, publishing or protecting. Data processing, from collection to analysis, sharing and re-use, can however be tricky as small mistakes can lead to serious effects. Fortunately, there are tools and good habits that young researchers can adopt early on to support the quality of their work. Funding programmes and agencies are adding data management selection criteria to their calls. Data management is no longer just a tool for research: it is part of the research process and of researcher’s daily activities. After the seminar the trainees are expected to be able to reflect on their data management and develop good habits to improve traceability, sustainability and visibility of their research. They will be able to pick out the tools they specifically need in their research projects. They will also develop valuable skills outside of academia, as data management does not only pertain to research but also to sectors like industry, business, communication or IT.
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