Sentence examples for systems data integration from inspiring English sources

Gartner notes that database management systems, data integration tools and supply chain management are three growing areas, while IT operations management and operating systems are seeing "lower growth expectations".

Disease reporting; clinical systems; data integration To describe the application and process developed by the Maryland Department of Health and Mental Hygiene (DHMH) Office of Preparedness and Response (OP&R) and Office of Information Technology OITT) for monitoring and auditing the transfer of syndromic surveillance data.

The architecture of the system, data integration and mapping procedures, database schema, ontology model and data query engine are described in detail elsewhere [ 42].

There are legacy systems and data integration issues, spiraling costs for cooling and powering racks of servers, concerns over integration, security, outsourcing and virtualization as well as data storage overload.

AMI relies on smart meters, which must meet several requirements such as the data storage capability, the duration of meter intervals etc. AMI uses a great number of technologies to manage smart meters, such as MDMS, operational gateways and systems for data integration into software application platforms.

The ePlant framework has the potential for many novel extensions to systems biology data integration.

Proprietary software systems for data integration (e.g., Oracle Life Sciences Data Hub [ 64] and SAS Clinical Data Integration [ 65]) certainly exist.

The resource deals with two relevant problems in systems biology: data integration and mathematical simulation of a crucial biological process related to cancer, such as the cell cycle.

In systems biology data integration is an important approach to better understand the main features of a biological process, because it represents a way to combine interesting information related to the reaction involved in a specific network.

As stated above, searching for genes involved in aging can be achieved by both approaches of systems biology: data integration (from -omics to model) and mathematical modeling (from kinetics to model).

We describe how these two approaches merged in Semantic Systems Biology: a data integration and analysis approach complementary to model-based Systems Biology.