Information Intensive Breakout

1
Information Intensive Breakout

• Big science out of small parts

2
Challenges

• Using semantic stuff in science
• Applying semantic stuff to large data/complex
  workflow/distributed independent contributors
• Scoping efforts for maintainability - reporting,
  credit issues, incentivizing
• Maintaining/evolving/federating databasetools as
  community services

3
Priorities

• Challenges
• Persistent global naming
• Standard/Controlled vocabularies, units,
  schemas, ontologies
• Maintaining links between data and ontologies,
  evolving schemas,
• Streaming metadata extraction (e.g. as part of
  primary data flow)
• Federated metadata - Information Retrieval (GIR)
• semantic federation
• Shared Annotation of external data
• Automated /prompted input, usability design,
  input validation
• Metadata propagation along relationships
• (Bio)Experiment planning/design (data flow/data
  requirements/resource planning) simplifying big
  science approach