Abstract
There is a demand for evaluation of spatial data infrastructures (SDIs), to justify and monitor the relations between investments in SDI initiatives and the results obtained. It is also essential to pay particular attention to identifying user communities, and eliciting their assessment of effects deriving from an SDI. The paper introduces a concept of a multi-criteria method which allows to assess effectiveness of the SDI from the user perspective. The application of the proposed method in the Polish Spatial Data Infrastructure (PSDI) and its main access point to spatial data and services called ‘Geoportal 2’ as well as two groups of the national geoportal”s users (spatial planners and land surveyors) presents its potential. The total scores for the Geoportal 2 indicated the investment has potential and is quite effective, although some components of the PSDI (e.g. main access point, datasets, network services, software, hardware, procedures) may need improvements and additional analyses in the future. The contribution of this paper is the multi-criteria method which enables the analysis of outcomes, benefits (impacts) and business value of using SDI business project’s artifacts (outputs) considering the following dimensions: information and support provided, use process, user organizational performance, strategic alignment and business impact on user enterprise.
Highlights
The increasing popularity of spatial data infrastructures (SDIs) has resulted in building new infrastructures on different levels of government, and in developing the existing ones through such means as including new data sources
There is a demand for SDI evaluation in order to (e.g. Grus et al 2008) justify and monitor in a systematic way the relationships between the investments in SDI initiatives and the results obtained
An SDI business project should be considered as the sum of information technology components to be designed, implemented, and installed, a whole IT lifecycle and the business objectives
Summary
The increasing popularity of spatial data infrastructures (SDIs) has resulted in building new infrastructures on different levels of government (i.e. local, national, supranational), and in developing the existing ones through such means as including new data sources. A growing body of literature describes many different aspects of SDI initiatives, including the concepts and models of SDIs One of the important issues within the development of spatial data infrastructures (SDIs) is economic and financial analysis. There is a demand for SDI evaluation in order to (e.g. Grus et al 2008) justify and monitor in a systematic way the relationships between the investments in SDI initiatives and the results obtained. Many different assessment methods are considered in the area of the SDI projects. Financial methods are used for SDI investments(e.g. There are examples of application of different qualitative methods, which come from different scientific fields, including operational research, management and economy (e.g. Geudens et al 2009; Toomanian et al 2011)
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