iMONDRIAN: A Visual Tool to Annotate and Query Scientific Databases

Provided by: Springer Healthcare
Topic: Big Data
Format: PDF
Modern science relies increasingly on the use of database systems to store huge collections of scientific data. These data are generated from laboratory processes or are copied from other scientific databases. To make sense of these data and decide under which circumstances they can be used, scientists need to know their lineage, i.e., the conditions under which the data were generated, the accuracy of the processes that produced them, or how trust-worthy is the source from which the data were copied.

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