Data science for the win

Introductory presentation on how data science can help with scientific reproducibility. Author: Michel Dumontier.

By Michel Dumontier
Published Feb, 2017

Learning materials

External links

Description

Topics covered:

  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. https://www.maastrichtuniversity.nl/news/kework-first-10-students-academic-workstudy-track-graduate"