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  • Developing criteria/metrics for project support levels within SCA**
    • Take into account need to support existing experiments/projects vs need to develop new initiatives
    **
    • Support single experiment/projects vs set of SLAC based projects vs extended community
    **
    • Internal funding vs external funding
  • Understanding existing and planned projects within SCA**
    • Including projects which SCA could/should be involved in
    **
    • Try to identify common requirements which can be "factored out"
    ***
      • Maximize reuse, eliminate unnecessary/unintentional duplication
  • Defining technical direction for new projects**
    • Attempt to balance leveraging of existing skill-sets vs understanding and exploiting new industry trends
    **
    • Need people's input on what we should be doing
    **
    • Form "task-force" to evaluate some new technologies
    • Create SLAC wide developers "journal-club"
  • Developing targets of opportunity for new projects and collaborations**
    • Set of projects ready when new funding opportunities present themselves
    **
    • Developing priority list for existing/new projects
  • Creation of (new) project teams**
    • Possibly bring people together from different parts of SCA, and people from outside of SCA
    **
    • E.g. LSST Camera Control System 
    **
      • SLAC Max, Tofigh, Owen Saxton, Stuart Marshall
    ***
      • Paris, Indiana, Arizona, Brookhaven, ...

Possible Projects (very early ideas -- not meant to all be good ideas)

  • New Projects**
    • Projects with Computing Division
    **
    • Support for GIT, Fisheye, ...
    **
    • Interactive web based scientific computing status page
    ***
    • Better integration between Crowd, Group Manager, Single sign-on
    • Account management
      • mathjax for confluence
      • LSF with virtualization
  •  
  • Data Management
    • ** Data Portal for Photon Science (and Astro physics)
    • ** Best features from Fermi data catalog, JCSG, CXIDB, ICAT, Dirac, ...**
    • Why stop at presenting data location via the web?***
      • Should be able to drill into and operate on data
      ***
      • In a collaborative way
    • Web based scientific data visualization tools***
      • Extension/compatible with Google Visualization API
    • Virtual Observatory integration
    • LCLS real-time image displays
  • Existing Projects

...

  • Technology selection criteria** Lifespan/stability** Adoption/Support** Popularity/Mindset** Language neutrality/Interoperability
  • Google visualization API
  • Web/HTML5/GWT/Dart/Json
  • HDF5
  • IPython/IPython Notebook
  • Virtual Observatory
  • MatLab 
  • DGAS (http://www.to.infn.it/dgas/)
  • LSF virtualized cluster support

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