Teaching module

FAIR data principles for responsible research

With Mariarita de Luca

  • Coursework, current edition
  • Core
  • 8 h
  • 4 scheduled lessons

Dive deep into the FAIR data principles—Findable, Accessible, Interoperable, and Reusable—and learn how to interpret and apply them across different disciplines and data types. This module addresses both the theoretical foundations and the practical challenges of implementing FAIR, extending the discussion to new frontiers such as software and AI models.

Key topics

  • In-depth analysis of FAIR principles
  • Structure of Data Management Plans
  • Integration of FAIR in data management plans and research workflows

Learning Outcomes

  • Critically interpret each FAIR principle and understand their technical and conceptual implications
  • Integrate FAIR principles into planning, execution, and publication of research outputs
Total hours
8 h
Classes
8 h
Type
Core

Lessons in the calendar

  • Wed, 7 Oct 202614:30 to 16:30SISSA main building room 005
  • Thu, 8 Oct 202609:00 to 11:00SISSA main building room 003
  • Thu, 8 Oct 202611:15 to 13:15SISSA main building room 003
  • Tue, 13 Oct 202614:30 to 16:30SISSA main building room 003
Full course calendar

Lecturers