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Data Analysis and Science Support Software

The Data Analysis and Science Support Software Section in the Space Science and Engineering Division provides end-to-end data management and data analysis solutions for supporting scientists and engineers in all mission phases. Data management includes all stages of ingesting, processing, formatting, distributing, archiving, retrieving, and mining data in automated and interactive fashions. Data analysis includes numerical computation, data fusion techniques, and visualization in a variety of 2-D and 3-D views.

The staff relies on more than 25 years of problem solving and systems design experience to produce quality solutions using appropriate software technologies. Section experience includes a wide range of areas across the entire span of computer science and engineering. The team creates software and systems for clients by applying design methodologies, rapid prototyping, and knowledge of a broad spectrum of standards. A computer laboratory provides clients with an adaptable development and testing environment for almost any software production need. The section routinely deals with issues involving cross platform development (UNIX, Linux, Windows, Macintosh), multiple programming languages (C/C++, FORTRAN, Tcl/Tk, Perl, PHP, Java, Lua, Python), open source tools (VTK-Visualization ToolKit, Qt/Qwt, MySQL, SQLite, PostGRES, SPICE), proprietary tools (IDL, MATLAB, Mathematica®, STK-Satellite ToolKit, SIMION®), visualization (2D/3D), data compression/representation, and data fusion and mining applications both on and off the web.

 

Sandee J. Jeffers, Principal Analyst/Acting Manager

Technical strengths and contacts include:

             Developers of NASA Award Winning Software!
  October 1999 and May 2000 - Highlighted in NASA Tech Briefs
A Standard for Scientific Data Files
              Software for Display and Analysis of Scientific Data

Related Links

 

Division Publications


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January 24, 2012