In the wake of the so-called information technology revolution,
many stakeholders from the public and private sectors (including
citizens) have indeed grown accustomed to the promise and usability
of spatial data infrastructures (SDI) for data access, use, and
sharing. Analyzing the obstacles as well as the processes and
mechanisms of integration and implementation, Spatial Data
Infrastructures in Context: North and South investigates the
technological and the non-technological aspects of the widespread
adoption of spatial data infrastructures. Supporting theoretical
issues with empirical studies, the editors pay particular attention
to the non-technological aspects of organizational, financial, and
legal issues including owner rights, liability, copyrights, and
compatibility with precedent and supercedent laws. The authors also
highlight the importance of understanding the local environment and
circumstances in the process of tailoring the approaches to the
conditions that characterize societies of different cultural,
institutional, and economic settings. Designed to improve the
accessibility, interoperability, and affordability of spatial data,
the book focuses on the increasing challenges associated with
integrating individuals and organizations into a network to support
(1) public authorities and administrations at various levels, (2)
thematic user communities, (3) enterprises, and (4)
citizen-oriented society as a whole. It addresses the
implementation and development of spatial data infrastructures for
a wide range of themes, applicable technical standards and
protocols, and specific organizational issues unique to data
policy. Highlighting the potential for profound changes to the
access, use, and exchange of spatial data for citizens,
organizations, and geographically related applications, and
therefore to the role and interaction of the stakeholders from the
public and private sectors, this timely contribution provides new
insights into improving our understanding of the increasing
relevance, applicability, and value of spatial data
infrastructures.
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