Deep Thoughts after 15 minutes of reflection

1
Deep Thoughts after lt 15 minutes of reflection

• Michael Franklin
• Jim Frew

2
The Big Question Why are we here?

• Two Primary Answers
• There is a sea change in the way that science
  will be done.
• Processing on a world-wide ever increasing
  collection of experimental data
• From primary collecting to data mining
• We need to reason about, assemble, manage, and
  avoid re-doing loosely coupled, long-running,
  world wide computations.

3
Some Major Issues from Day 1

• (re) creation vs. validation/explanation
• Data vs. Process
• Talmud vs. (Kosher) Sausage Factory
• The S Word

4
The Bogus(?) Distinction

• Derivation
• Provenance
• Lineage
• Annotation
• Pedigree
• (Re) creation vs. validation
• Is the DPLAP Executable?

5
Subject, Object, Verb?

• Which should be our focus?
• Edges
• Boxes
• Both of the above
• What flows along the edges?
• Data
• Control
• Events
• All of the above

6
Talmud vs. (Kosher) Sausage Factory

• We seem to have two very different (perhaps
  irreconcilable?) modes of operation.
• e.g.,Bioinformatics Databases Continual
  Accretion of knowledge.
• e.g., Physics Experiments Composable
  DAGs/GRAPHS/Pipelines leading towards data
  products
• Differences
• Scale Time, Resources,
• Human involvement vs. automation
• How desirable, necessary is each?

7
The Great Thing About Standards is

• Core Extensibility Framework
• Keys for Objects (i.e., Identifiers)
• Granularity
• Equivalence and Similarity
• Are these application/scientist-dependent?
• Common Terminology/Data Integration
• Versioning and Schema Evolution
• Need to Choose
• Declarative vs. Procedural
• Strongly Typed?

8
What else?