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         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/28e03b4aeb58ea1b36ed9a9a6c72d54d1/diglezakis",         
         "tags" : [
            "bigdata","engineering","forschungsdaten","iag","obib"
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         "intraHash" : "8e03b4aeb58ea1b36ed9a9a6c72d54d1",
         "interHash" : "bfc959092e0f6966f300d2ac25215c25",
         "label" : "Turbulence in the Era of Big Data: Recent Experiences with Sharing Large Datasets",
         "user" : "diglezakis",
         "description" : "",
         "date" : "2017-07-18 09:41:03",
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         "pub-type": "inbook",
         "booktitle": "Whither turbulence and big data in the 21st century?","publisher":"Springer","address":"Switzerland",
         "year": "2017", 
         "url": "", 
         
         "author": [ 
            "Charles Meneveau","Ivan Marusic"
         ],
         "authors": [
         	
            	{"first" : "Charles",	"last" : "Meneveau"},
            	{"first" : "Ivan",	"last" : "Marusic"}
         ],
         
         "editor": [ 
            "Andrew Pollard","Luciano Castillo","Luminita Danaila","Mark Glauser"
         ],
         "editors": [
         	
            	{"first" : "Andrew",	"last" : "Pollard"},
            	{"first" : "Luciano",	"last" : "Castillo"},
            	{"first" : "Luminita",	"last" : "Danaila"},
            	{"first" : "Mark",	"last" : "Glauser"}
         ],
         "pages": "497-507","abstract": "In the context of the contemporary push for \u201Cbig data\u201D in many fields, we review recent experiences building large databases for turbulence research. We consider data from direct numerical simulations (DNS) of various canonical flows and from experimental studies and related numerical simulations of wall-bounded turbulence, where the data storage needs are particularly challenging due to the very large range of length and time scales that exists in these flows at high Reynolds numbers. The focus is on a move from the traditional approach of data-handling and analysis where datasets are moved to individual computers, to one where much of the analysis is moved to the hosting system that stores these data. In this context we give a summary of a unique open numerical laboratory that archives over 200\u2009Terabytes of DNS data, including full spatio-temporal flow fields of various canonical flows. Particular attention is given to the unique access requirements for large datasets to become open to the research community and the success the system has had in democratizing access to large datasets.",
         "isbn" : "978-3-319-41217-7",
         
         "doi" : "http://dx.doi.org/10.1007/978-3-319-41217-7",
         
         "bibtexKey": "meneveau2017turbulence"

      }
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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/299e8a3d8e32d794bbb8872e3e32bf103/diglezakis",         
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            "bigdata","dissemination","engineering","forschungsdaten","iag","obib","reuse","simulation"
         ],
         
         "intraHash" : "99e8a3d8e32d794bbb8872e3e32bf103",
         "interHash" : "dc6a0df4ec49e56c562c7b9c86c63cc7",
         "label" : "Public Dissemination of Raw Turbulence Data",
         "user" : "diglezakis",
         "description" : "PUMA",
         "date" : "2017-07-18 09:33:00",
         "changeDate" : "2018-02-16 08:39:42",
         "count" : 1,
         "pub-type": "inbook",
         "booktitle": "Whither turbulence and big data in the 21st century?","publisher":"Springer","address":"Switzerland",
         "year": "2017", 
         "url": "", 
         
         "author": [ 
            "Juan A. Sillero","Javier Jiminéz"
         ],
         "authors": [
         	
            	{"first" : "Juan A.",	"last" : "Sillero"},
            	{"first" : "Javier",	"last" : "Jiminéz"}
         ],
         
         "editor": [ 
            "Andrew Pollard","Luciano Castillo","Luminita Danaila","Mark Glauser"
         ],
         "editors": [
         	
            	{"first" : "Andrew",	"last" : "Pollard"},
            	{"first" : "Luciano",	"last" : "Castillo"},
            	{"first" : "Luminita",	"last" : "Danaila"},
            	{"first" : "Mark",	"last" : "Glauser"}
         ],
         "pages": "509-515","abstract": "It is argued that there is a certain urgency to the discussion of whether raw data should be made publicly available within the turbulence community, and about the best ways, technology and rules for possible dissemination. Besides expressing the personal opinion that such sharing would be advantageous for the field, the urgency mostly arises from the danger that funding agencies or other institutions would otherwise set standards without proper community input. This paper is in part a plea for community action in that direction. As an example, the experience of the Madrid school of Aeronautics with the dissemination of numerical simulation results is briefly reviewed, including the present technological solutions and usage statistics.",
         "isbn" : "978-3-319-41215-3",
         
         "doi" : "10.1007/978-3-3 19-41217-7_28",
         
         "bibtexKey": "noauthororeditor"

      }
	  
   ]
}