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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/216e34741aa7fc1a42b881033c136fb52/hermann",         
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            "forschungsdaten","clush","software","diss","grafiken","research"
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         "interHash" : "dd1c7267fdfe040e83236033d22cdcc0",
         "label" : "Developing Scientific Software",
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         "pub-type": "article",
         "journal": "IEEE Software",
         "year": "2008", 
         "url": "https://ieeexplore.ieee.org/document/4548403/", 
         
         "author": [ 
            "J. Segal","C. Morris"
         ],
         "authors": [
         	
            	{"first" : "J.",	"last" : "Segal"},
            	{"first" : "C.",	"last" : "Morris"}
         ],
         "volume": "25","number": "4","pages": "18-20","abstract": "Not all scientific computing is high-performance computing\u2014the variety of scientific software is huge. Such software might be complex simulation software developed and running on a high-performance computer, or software developed on a PC for embedding into instruments; for manipulating, analyzing or visualizing data or for orchestrating workflows. This special issue provides some flavor of that variety. It also explores the question of how the development of scientific software can be improved.",
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         "doi" : "10.1109/MS.2008.85",
         
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