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Interoperability between data centres is increasingly necessary.
Interoperability between data systems is possible only if the systems are based on the same standards, for example, the same information model and a standardized service.
The lack of interoperability between data domains in the architecture, engineering and construction (AEC) industry inhibits the cross-domain use of data at an enterprise level.
Finally, we conclude with a summary of our experience exploring the potential for interoperability between data and modeling systems, and suggest ways in which future development can better facilitate connections between the various subsystems needed within an integrated environmental modeling system.
Integration of software applications is also the driving force behind new information management systems architectures that seek to eliminate the boundaries to interoperability between data and services.
OME delivers software that enables interoperability between data, analytic tools and scientists 42.
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The conceptual stance and modeling approach are potentially of general use in representing knowledge of animal behavior and ecological interactions, and in engineering semantic interoperability between data-stores containing behavioral ecology data.
In what is being unimaginatively designated as Web 3.0[22], [23], a software development design pattern is proposed where the interoperability boundaries between data structures, not just between the systems that produce them, is set to disappear.
We intentionally designed the services to be generic and applicable to other hydrologic databases, in order to provide interoperability between disparate data sources.
The lack of interoperability between different data sources also undermines the usefulness of HIT to the clinician, who may be asked to use a variety of paper-based and electronic methods to retrieve and enter data even for the same patient.
Working on enhancing the interoperability between heterogeneous data sources, the agINFRA project has left a set of grid- and cloud- based services that can be reused by future initiatives and adopted by existing ones, in order to facilitate the dissemination of agricultural research, educational and other types of data.
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