Mark Royer

Add activity2 wrapup

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* Notes
- Can we grab the data directly from the machine
- Issues with people using depth and age
- Whatever type of data solution must make it easier for the
scientist to load and share the data -- Must be a low bar.
- Can data be integrated? This takes time.
- The data must be easily accessible - easy into the system and easy
out
- Tracking data ownership is very important. Where did the data come
from? Who created the data?
- Multiple producers of data that are supposed to be viewed together,
but they are all different formats.
- Look at the domain of the particular data and provide ways to map
different formats into a standard base level.
- Provenance is very important for any data -- how is that
maintained? How fine grained?
- What is a bigger issue? How easily can a script be generated versus
how important is the level of abstraction of matrix of numbers?
Does a relatively small high level change make it look like the
data is completely changed?
- There must be an agreement about what quality there should be for
data in papers.