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Cost-Benefit Analysis
     
The central premise of INSPIRE and GEOSS is that benefits and economies extend from a local to a national to a supra-national level and by linking the current existing Spatial data Infrastructures, a certain benefit arises. If INSPIRE and the GEOSS concept is to become a sustained and operational reality, it is necessary to move beyond the assumption that the benefits of international collaboration in this field far outweigh the incremental costs, to actually providing a rational, quantified and persuasive argument for a particular magnitude of investment. In order to be able to quantify the resulting benefit with respect to the investment, we will make use of the so called benefit chain concept:

Specifically, we will develop methodologies and tools to assess societal benefits of INSPIRE and GEOSS for the 3 thematic areas of the EuroGEOSS project (Forestry, Drought and Biodiversity) as well as for other social benefit areas of GEOSS and undertake integrated benefit assessment. Moreover, we will work towards ‘best practice’ guidelines which can be used by analysts assessing the ‘value of information’ of interoperable geo-information.

Tools applied for benefit assessment in EuroGEOSS will include:

      • Surveys (within EuroGEOSS, Geo Secretariat, among field experts)
      • Bayesian Statistics (analysis of field experts)
      • Data-rich/data-poor scenarios (applied to simulation models)
      • Crowdsourcing (via Geo-Wiki)
      • Stochastic optimization and simulation
      • FELIX (system dynamics model)
To aid in this effort, we are performing a meta study on SDI related benefit assessment. We have created a public bibliography online database to collect all relevant research. In the course of the Project, this information will be analyzed.

 

 

Additionally, a Geo-Wiki is being developed to aid in both the validation of existing spatial information and the collection of new information through the powerful resource of crowdsourcing.

 

A case study using a land cover validation Geo-Wiki will be demonstrated, in which the tool is used to validate existing global land cover products. Resulting data is then run through dependent models to show GEOSS derived benefits of better land cover information.

 

Contact: Steffen FRITZ (FOR Program, IIASA)