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1 Data Management for Robert J. Robbins UCSD (sort of)

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Presentation on theme: "1 Data Management for Robert J. Robbins UCSD (sort of)"— Presentation transcript:

1 1 Data Management for LTER@100 Robert J. Robbins UCSD (sort of) RJR8222@gmail.com

2 2 http://www.nsf.gov/pubs/2012/bio12002/bio12002.pdf

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6 6 Happy Customers: An Aside Most people classify all IT resources into one of two categories:

7 7 Happy Customers: An Aside Most people classify all IT resources into one of two categories: The stuff I personally use (which, although absolutely mission critical, is out of date, woefully underpowered and must be upgraded and expanded immediately). The stuff other people use (which, although really an unnecessary luxury, is incredibly over- powered, way too expensive, and should be controlled or even eliminated immediately).

8 8 Happy Customers: An Aside Most people classify all IT resources into one of two categories: The stuff I personally use (which, although absolutely mission critical, is out of date, woefully underpowered and must be upgraded and expanded immediately). The stuff other people use (which, although really an unnecessary luxury, is incredibly over- powered, way too expensive, and should be controlled or even eliminated immediately).

9 9 Happy Customers: An Aside Most people classify all IT resources into one of two categories: The stuff I personally use (which, although absolutely mission critical, is out of date, woefully underpowered and must be upgraded and expanded immediately). The stuff other people use (which, although really an unnecessary luxury, is incredibly over- powered, way too expensive, and should be controlled or even eliminated immediately).

10 10 Happy Customers: An Aside Most people classify all IT resources into one of two categories: The stuff I personally use (which, although absolutely mission critical, is out of date, woefully underpowered and must be upgraded and expanded immediately). The stuff other people use (which, although really an unnecessary luxury, is incredibly over- powered, way too expensive, and should be controlled or even eliminated immediately).

11 11

12 12 Funding Science vs funding infrastructure: Where does the money come from? Who has a fiduciary (or ethical or moral) duty to do what?

13 13 Funding Science: Program staff have a duty to taxpayers to deliver the best science possible for the money expended. Program staff have a duty to the community to presiding over an open and fair competition, levelling the playing field for all, ensuring an adequate and fair assessment, then funding the strongest proposals.

14 14 Funding Infrastructure: Program staff have a duty to taxpayers to deliver the best scientific infrastructure possible for the money expended. Program staff have a duty to the community to procure, on behalf of the community, the best (and most appropriate) scientific infrastructure possible for the money expended.

15 15 LTER: The conduct of LTER research is science. The development of long-term data resources for others to use is infrastructure.

16 16 cost results The 80:20 Rule

17 17 cost results The 80:20 Rule

18 18 cost results The 80:20 Rule

19 19 cost results The 80:20 Rule

20 20 cost results The 80:20 Rule

21 21 cost results The 80:20 Rule

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32 32 PASTAPASTA

33 33 PASTAPASTA Provenance Aware Synthesis Tracking Architecture

34 34 PASTAPASTA Provenance Aware Synthesis Tracking Architecture Full Access Research Information and Analysis Now

35 35 PASTAPASTA Provenance Aware Synthesis Tracking Architecture FARIANFARIAN Full Access Research Information and Analysis Now

36 36 FSMFSM Full System Makeover

37 37

38 38 END


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