Biological data management includes the traditional areas of data generation, acquisition, modelling, integration, and analysis. Although numerous academic biological data managem...
Victor M. Markowitz, Frank Korzeniewski, Krishna P...
The management of reservoir simulation models has been an important need of engineers in petroleum industry. However, due to data sharing among reservoir simulation models, data r...
Grid data management is a challenging task because of the heterogeneous, dynamic and largescale nature of Grid environments. This paper proposes an autonomic Grid data management ...
Current data management approaches can easily handle the relatively simple requirements for molecular biology research but not the more varied and sophisticated microscopy imaging...
Compelled to improve information security by the introduction of personal data protection legislation, organizations worldwide are adopting standardized security management guidel...