The pressure of opening access to public sector geospatial information traditionally managed within disparate spatial data infrastructures (SDI) is driven by a combination of factors. These factors include the adoption of open data programs and the need to integrate spatial data across sectors and levels of government for specific applications. Informed by the success of the Linked Open Data co...

The SDI Industry®Product Suite is a versatile, high-level simulation toolset for solving problems of whole enterprises. It adds important capabilities to an existing simulation package, Extend™, which provides a robust simulation architecture and a wealth of existing building blocks. The SDI Industry Product Suite contains 5 specific elements for modeling the enterprise: SDI Database for high-s...

The challenge of designing, building, implementing, and maintaining an SDI draws on many different disciplines and requires examination of a large number of factors and issues. It is essential that SDI practitioners understand the significance of human and societal issues as much as technical issues, all of which contribute to the success of SDI developments. Key issues include sustaining a cul...

This paper discusses the challenges that are imposed by the Big Data Science on the modern and future Scientific Data Infrastructure (SDI). The paper refers to different scientific communities to define requirements on data management, access control and security. The paper introduces the Scientific Data Lifecycle Management (SDLM) model that includes all the major stages and reflects specifics...

This paper aims to introduce and discuss six challenges and issues facing the development of SDIs which will be able to meet the sustainable development objectives of society. These issues and challenges include: SDI to facilitate spatially enabled government Role of government, private and academic sectors Development of SDI vision, mission and road map – where are we heading? SDI to facilitat...