CONTENT

  1. Data centric sciences new challenges [slides]
    • Beyond Big Data
    • Data exploitation from different perspectives
  2. Curating data collections [slides]
    • Curation what for ?
    • From harvesting to maintenance
    • Elements of data lakes and quality
    • Conjectures and properties beyond data archival
  3. Visualizing and exploring data collections [slides, case twitter]
    • Which metaphor for which perspective?
    • From simple graphcis to 3D life environments
    • Technical challenges