Sentence examples for data management knowledge from inspiring English sources

Two main groups of components are used: components provided by the platform (message queues, storage systems, HTTP gateway, etc) and specific components implemented as Cloudlets (for sensor data management, knowledge extraction dispatcher, etc).

A common infrastructural basis for such activities is the use of computational science, information science, biomedical informatics, and information technology derived methods and tools (e.g., to support team collaboration, project planning, data management, knowledge generation, and results dissemination to name a few of many such applications) [ 1, 14].

In the 5 years since its debut, we have moved the CCDB from a prototype to a stable resource and expanded the scope of the project to include data management and knowledge engineering.

In [21], authors propose a layered network architecture based on four planes: data, management, control, and knowledge.

So too are there opportunities for grads of non-elite schools trained in data analytics, project management, knowledge management, and a plethora of other "business of law" positions many of which have yet to be created.

My best experiences have been when a student starts the semester with a complete lack of confidence in applying data management and statistical knowledge to their own data sets and by the end of the semester they have independently completed an entire analysis and presented it with confidence.

The DataTank is an open source RESTful data management system managed by Open Knowledge Belgium.

Data management also requires business knowledge.

Health information technology (health IT) enables the collection of large amounts of patient care data in electronic form, but this requires new architectures, techniques, algorithms, and analytics for data management and for extracting knowledge [17].

Activities related to evaluation of new or already registered products or available technology including implementation research, or diagnostics performance evaluation etc. Epidemiology, Health Systems, Ethics, IP management, Knowledge & data management.

This chapter introduces ontologies as versatile artifacts that can be applied for knowledge and data management.