Performance indicators to evaluate Spatial Data Infrastructures

Authors

DOI:

https://doi.org/10.3989/estgeogr.201706

Keywords:

spatial data infrastructure, SDI indicators, SDI monitoring, SDI assessment, usability

Abstract


The importance of geographic information in decision-making and the ability of Spatial Data Infrastructures to transform government actions from a spatial perspective have placed the IDE as a fundamental solution in decision-making at many levels. In view of its relevance and major investments in this area, there is great interest in different sectors of society to observe the impact of the IDE, its evolution and future scenarios. This creates the need for an assessment of its impact, to obtain an approximate measure the success of these initiatives. This requires the availability of reliable mechanisms of evaluation from different approaches and objectives, which does not prevent, despite having a wide variety of studies and proposals, remains a difficult task. As part of the evaluation and monitoring IDE there is a variety of approaches using performance indicators as valid to estimate their development mechanism. In this context it is noted, the effort of experts and organizations, by agreeing a method to evaluate the IDE on the one hand and to define indicators, which are the essential part of various methodological approaches on the other. Given that the indicators are principally a desire to measure, marked differences in purpose of evaluation, the name and scope of the indicators themselves are observed, which indicates there is still much work to be done. This article presents a comparative analysis of the use of indicators for monitoring and evaluation of IDE development, which has been considered the study of five major initiatives: IDEC of Catalonia, GIDEON the Netherlands, eSDI-Net + e INSPIRE European and UN-GGIM of America.

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Published

2017-06-30

How to Cite

Jiménez-Calderón, L., Yépez-Campoverde, J., & Vázquez-Hoehne, A. (2017). Performance indicators to evaluate Spatial Data Infrastructures. Estudios Geográficos, 78(282), 165–192. https://doi.org/10.3989/estgeogr.201706

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Articles