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Research Data Management is the care and maintenance of the data that is produced during the course of a research cycle. It is an integral part of the research process and helps to ensure that your data is properly organized, described, preserved, and shared. It accompanies the data along each steps in the Data Life Cycle. [1]

The good scientific practice requires data to be made publicly available in order to meet the following aspects

  • comprehensive documentation of research, processes and results for reproducibility,
  • increased visibility and transparency (see also F in FAIR principles [2]),
  • long-term access and permanent availability (see also A in FAIR principles [3]),
  • standardization for interoperability and re-usability (see also I and R in FAIR principles [4]),
  • trustworthiness and authenticity of science as foundation for further research, innovation, decision-making etc.

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