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...
A critical point for developing successful information systems for distributed organisations is the need for integrating heterogeneous technologies and tools. This paper reports a...
Lerina Aversano, Gerardo Canfora, Andrea De Lucia,...
Interdependence between the subsystems of an enterprise is one of the driving reasons for integrating the enterprise. Integration attempts to manage those interdependencies so all ...
Model Driven Data Integration is a data integration approach that proactively incorporates and utilizes metadata across the data integration process. By decoupling data and metada...
Hyeonsook Kim, Ying Zhang, Samia Oussena, Tony Cla...
Starting in 2003, Drew University began a process to replace its manual account management procedures with an automated provisioning system based upon Novell technologies. Over th...