Sustainable Data Management/20160721 ESIP summer mtg

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Definitions/context: http://cirss.lis.illinois.edu/Documents/Publications_docs/Choudhury_2013a.pdf

  • Levels:
  1. storage
  2. archiving
  3. preservation
  4. curation
  • Maturity:

{ref here}

  1. data services
  2. data checking
  3. metadata quality
  4. migration

Value of repo depends on a combination of their activities, and maturity. e.g.,.

  • value should go up with higher levels, but how to quantify is difficult
  • NASA L1-L4 levels.

Users: a similar degree of differences between their expectations/needs, and the value they might assign (or could be assigned to them)

Comments:

  1. when companies do ROI, it is based on cost-to-produce, and they anticipate an amount in return. Ours: it costs $x to produce, and we give it all away. so no value is really known.
  2. Universities when economic impact for their existence: what methodology do they use?
  3. studies on NSDES - valuation of satellite data (economist with UCAR) - perhaps NASA has some of these also.
  4. NASA counts the number of citations that use some data products, but not monetary value (Rama)
  5. NASA efficiency metrics to OMB (Rama) - getting more efficient every year! budgets are flat, yet output goes up.
  6. assigning value: some businesses make large sums of $$ on public data. others have no monetary but large socitial value (eg, an sustainability researcher in E. Africa) - at a minimum, could these be cited?
  7. compare to BEDI project? Big Earth Data Initiative - were there some evaluation metrics?
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