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‡ UDC 303.732.4 Creating the World Data Center for Geoinformatics and Sustainable Development (WDC-Ukraine), its certification and integration into the World Data System are described. The main principles of the WDC and its research priorities are considered. Main projects carried out by the WDC are reviewed. One of them is global modeling of the sustainable development in the context of the safety and quality of life aimed to get a set of indices and indicators for the sustainable development of complex systems at different levels.

The approach to applications integration for World Data Center (WDC) interdisciplinary scientific investigations is developed in the article. The integration is based on mathematical logic and artificial intelligence. Key elements of the approach-a multilevel system architecture, formal logical system, implementation-are based on intelligent agents interaction. The formal logical system is proposed. The inference method and mechanism of solution tree recovery are elaborated. The implementation of application integration for interdisciplinary scientific research is based on a stack of modern protocols, enabling communication of business processes over the transport layer of the OSI model. Application integration is also based on coordinated models of business processes, for which an integrated set of business applications are designed and realized.

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Establishment of the Russian-Ukrainian WDS Segment and its state of the art, main priorities and research activities are described. One of the high priority tasks for Segment members is development of a common information space -transition from Legacy Systems and individual services to a common, globally interoperable, distributed data system that incorporates emerging technologies and new scientific data activities. The new system will build on the potential and added value offered by advanced interconnections between data management and data processing components for disciplinary and multidisciplinary applications. Thus, the principles of the architectural organization of intelligent data processing systems are discussed in this paper.

A set of problems in intelligent analysis and systemic adjustment of various scientific data are considered. The mathematical and software and hardware tools are presented to solve this class of problems. An example of the systemic adjustment of economic, ecological, and social data in the annual global modeling of sustainable development processes, which is carried out by the World Data Center for Geoinformatics and Sustainable Development (WDC-Ukraine), is considered.