Sentence examples for seamless data exchange from inspiring English sources
A well-designed programming interface allows seamless data exchange between the two environments and provides control over the simulation process.
The development of technical standards for the seamless data exchange in the agricultural domain is therefore crucial.
The divergent interpretations of data, the lack of common metadata and the absence of universal reference data hinder governments from seamless data exchange, information systems integration and the delivery of cross-border public services.
A similarity-based approximate matching is a practical approach for both, in that the service discovery relies on functional matches between a query and service descriptions, and the seamless data exchange is granted by mapping information from a service to others.
In contrast, Flux provides seamless data exchange between industry design tools such as Rhino and Revit.
Certainly, innovations in seamless data exchange, attention to user design and mobile-enabled patient data are needed.
Minimal conditions for interoperability are: (1) to discover and plug in proper services for integration and (2) to support for seamless data exchanges between component services.
Depending on the level of sharing the interoperability issues are technical, organisational (including the seamless medical data exchange between different information systems), or semantic (including language).
To facilitate the seamless and automated data exchange between numerous applications, a common interface architecture was developed that serves in a number of today's information systems.
Despite available technologies, numerous challenges remain which still require significant efforts and time: ethical, legal, data privacy issues, information technology systems integration, optimal interoperability for a seamless and trustworthy data exchange, and so forth.
Importantly, major innovations such as developing best in class and seamless EHR-enabled clinical data exchange systems require building awareness and trust with multiple stakeholders in order to maximize the expected benefits, as well as societal acceptance from patients, health care providers, governmental bodies, and clinical trial sponsors.
