Research data management
The University endorses Open Research Data principles and actions as a prerequisite for reproducibility and open access to science findings. The University of Milan acknowledges the importance of data management for scientific research quality and integrity, and adopts the highest standards for data collection, storage and preservation.
The Data Management Policy formalises our full adherence to Open Research Data, establishes the responsibilities, rights and duties of the University and of its researchers, proposes a Data Management Plan (DMP) model for data collection, documentation, storage, access, use and preservation (or destruction).
More infos can be found on the page
For support in compiling a Data Management Plan [email protected]
Proper research data management makes research outputs verifiable, citable, and reusable, and supports the entire lifecycle of a research project, from its initial planning through to its completion and beyond.
The five courses in the "research data management and sharing" pathway cover the key aspects of research data management: understanding the Open Science requirements of European research projects, developing a Data Management Plan (DMP), managing sensitive data, managing research software, and depositing research data in the institutional repository.