The Future of Spatial Data Infrastructures: Capacity-building for the Emergence of Municipal SDIs

Abstract

Our paper suggests a realistic and sustainable pathway that will enable the emergence of comprehensive municipal information infrastructures, which in turn will support higher-level integration for spatial planning and decision-making at the regional, state, national and international scale. First of all, we propose to target our efforts to the primary locus of spatial change, i.e. the municipality, hence we call the strategy the City Knowledge approach (Carrera, 2004). We believe that the creation of sustainable Spatial Data Infrastructures – where data are plentiful and readily available in what we term a “Plan-Ready” scenario – can be achieved by investing time and effort in the creation of comprehensive municipal information systems (Carrera and Hoyt, 2006). The City Knowledge approach is founded on the premise that urban change falls almost entirely under municipal jurisdiction, and specifically under the purview of individual municipal departments. This paper therefore proposes to “grow” this knowledge from the middle-out, integrating a top-down approach to standardization (Craglia and Signoretta, 2000; Nedović-Budić and Pinto, 2000), with a bottom-up approach to neighborhood-scale ‘atomic’ data accrual (Ferreira, 1999; Talen, 1999). We believe that a web-services approach (Singh, 2004) would provide the technical mechanisms whereby towns will be enabled to accrue and maintain their municipal information in an inexpensive, efficient and sustainable manner.
The “middle-out” approach combines the benefits of top-down and bottom-up initiatives, while largely avoiding their respective pitfalls. Thus, instead of proposing a top-down solution to municipal data management, this paper suggests a distributed scheme whereby each department would be in charge of the upkeep of its own urban data, leveraging the power of Geographic Information Systems (GIS) as the platform for intra- and inter-departmental sharing of information. The novelty in this approach lies in its pragmatic, yet systematic pursuit of exhaustive, fine-grained, department-level datasets for each physical structure and dynamic activity in the urban realm, and in the identification of the implementation tools available to municipal governments, as well as of the technical and administrative mechanisms for capturing permanent as well as ephemeral change when it is directly or indirectly caused by official municipal acts.