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Data science for the win

Difficulty level

Introductory presentation on how data science can help with scientific reproducibility.

Topics covered in this lesson
  1. Scientific reproducibility, and why it is hard
  2. FAIR principles
  3. The semantic web
  4. Linked data
  5. Standardized representations
  6. Connecting datasets
  7. Data provenance
  8. Link analysis of linked scientific data 

From SlideShare: "A presentation to the New Year's Event for Maastricht University's Knowledge Engineering @ Work Program."