Responsible Data Management

Mandatory Course from the Interdisciplinary Module

Main Goal: Enhancing competencies to ensure

  • Reproducible Research by learning principles to report and document the lifecycle of research data management
  • Open Science by applying existing research data publication principles (e.g., FAIR, Linked Open Data, and TRUST)
  • Responsible Research by learning research data management principles and best practices to support ethical choices during research data processing

The Responsible Data Management lecture aims at creating awareness of the ethical implications of data management and analytics and discuss best practices mitigating this impact. The following topics are discussed:

  • Reproducible and transparent data management in research data ecosystems
  • Best practices for research collection and ethical use
  • Methodologies for creating findable, accessible, interoperable, and reusable (FAIR) data
  • Ontologies and controlled vocabularies for FAIR data management
  • Techniques for measuring, accounting, and documenting FAIR data
  • Scientific open knowledge graph as data structures to pave the way for responsible data management

 

Link to the lecture slides: GDrive

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