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His main research interests are in distributed computing in particular cloud computing, software engineering, business process management, data interoperability and management, software agents and geospatial information systems.
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Consistent use of the NIH consensus guidelines as a common set of metrics and standards for documentation and clinical management would support data interoperability, data pooling, and comparisons across treatment approaches.
According to [10] the challenges and open issues associated with MEC includes data interoperability, resource management, and orchestration, service discovery and security.
New challenges and requirements for the management of environmental data require improved data interoperability, data integration and data sharing.
Considering this need, this paper presents solutions for semantic data interoperability, distributed metadata management, and an agent-based query processing approach for supporting the exchange of learning content from different e-learning systems.
Data interoperability: in practice an interoperable solution or a solution that provides interoperability needs to deal with heterogeneous data formats.
The main challenges for Cloud Computing identified to that moment, as shown in [1, 2], were application and data interoperability and portability, governance and management, metering and monitoring, as well as security.
Multiple strategies are used for enabling data interoperability.
Ontology-based applications hold promise in improving spatial data interoperability.
Data interoperability is another important criterion.
Data interoperability is one of the main problems of system interoperability.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com