Research Data Management

A source for any research is a good idea and relevant hypothesis. To prove the hypothesis data is collected, analyzed and published as a research paper.

Accordingly the research cycle involves

  • Planning
  • Research Data Management
  • Scholarly communication

As the amount of digital data is growing exponentially, storage, preservation and exchange of data is easy to carry out technically, significance of raw research data in scholarly communication is continuously increasing.

It doesn’t matter whether the research data will be open data or no, active research data management should take place at any stage of the research.


By data management we mean all data practices, manipulations, enhancements and processes that ensure that research data are of high quality, are well organized, documented, preserved, sustainable, accessible and reusable.