Research data management and Open Science principles [for international students]

Goal: research data, if well produced and properly stored, are a valuable asset for those who produced them, for the scientific community as a whole and for the institution where the research is conducted. It is therefore essential to have the basic tools to act consciously and responsibly, to conduct research transparently and increase its impact.

Contents:

- Introduction to the basic principles of Open Science and FAIR management of research data to raise awareness of the international political-strategic context that feeds the Open Science movement (research impact, the movement that pushes for change in the evaluation of researchers, etc.);

- Definition of data and datasets, how they can be defined and what value they have for research;

- Management of research data: phases and steps, online tools and tools provided by the University, roles and professionals at the University to turn to for needs and doubts (e.g. storage and deposit tools and good practices, points of attention on IPR and privacy);

- Introduction to the Data Management Plan: principles and functions. What is a data management plan, what role does it play in research, what information to include and what strategies to compile it in the best possible way.

Learning Objectives: starting from the definition of basic principles of Open Science and FAIRness of research data; the focus is both on the the concept of data as a researcher's asset – to be valued and preserved – and on the basics of the research data management process in terms of actions to be taken, but also tools and resources offered by the University. Finally, the introduction of the "Data Management Plan" as a useful tool for research.

Date: Tuesday 12 March 9.30 a.m.-12.30 p.m.

Modality: online

Language: English

Duration: 3 hours

Lecturer: Bianca Gualandi, Data Steward – ARIC Research Services