Spatial data infrastructures (SDIs) have come a long way in the last two decades.

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 a

Because the original and essential value of spatial data ' data that refer to specific geographical locations or areas ' lies in environmental decision-making, such data mostly originate in the public sector and are made available to people,

The Availability of Spatial and Environmental Data in the European Union

Spatial data identifies the geographic location of natural and constructed features and boundaries on Earth, and has become increasingly important in various administrative practices. In order to facilitate access, use, and sharing of spatial data among organisations, information is brought together in clustered initiatives known as Spatial Data Infrastructures (SDIs). In Spatial Data Infrastructures at Work, Ezra Dessers introduces spatial enablement as a key concept to describe the realisation of SDI objectives in the context of individual public sector processes. Drawing on four years of research, Dessers argues that it has become essential, even unavoidable, to manage and (re)design inter-organisational process chains in order to further advance the role of SDIs as an enabling platform for a spatially enabled society. Detailed case studies illustrate that the process he describes is the setting in which one can see the SDI at work. This book is must-read material for academics, practitioners, and policymakers dealing with sdi and spatial enablement. By extension, the book will also be of great interest to anyone confronted with societal issues that call for an integrated approach, implying in-depth cooperation between multiple organisations.

Expert perspectives on SDI theory and practice The spatial data infrastructure (SDI) concept continues to evolve and become an increasingly important element of the infrastructure that supports economic development, environmental management, and social stability. Because of its dynamic and complex nature, however, it remains a fuzzy concept

Science is increasingly driven by data, and spatial data underpin the science directions laid out in the 2007 U.S. Geological Survey (USGS) Science Strategy. A robust framework of spatial data, metadata, tools, and a user community that is interactively connected to use spatial data in an efficient and flexible way-known as a spatial data infrastructure (SDI)-must be available for scientists and managers to find, use, and share spatial data both within and beyond the USGS. Over the last decade, the USGS has conducted breakthrough research that has overcome some of the challenges associated with implementing a large SDI. Advancing Strategic Science: A Spatial Data Infrastructure Roadmap for the U.S. Geological Survey is intended to ground those efforts by providing a practical roadmap to full implementation of an SDI to enable the USGS to conduct strategic science.