Assessing and communicating data quality in policy-relevant research |
| |
Authors: | Robert Costanza Silvio O Funtowicz Jerome R Ravetz |
| |
Institution: | (1) Coastal and Environmental Policy Program Center for Environmental and Estuarine Studies, University of Maryland, 20688-0038 Solomons, Maryland, USA;(2) Commission of the European Communities Joint Research Center, Institute of Systems Engineering and Informatics, I-21020 Ispra (VA), Italy;(3) The Research Methods Consultancy Ltd., 13 Temple Gardens, NW11 0LP London, UK |
| |
Abstract: | The quality of scientific information in policy-relevant fields of research is difficult to assess, and quality control in
these important areas is correspondingly difficult to maintain. Frequently there are insufficient high-quality measurements
for the presentation of the statistical uncertainty in the numerical estimates that are crucial to policy decisions. We propose
and develop a grading system for numerical estimates that can deal with the full range of data quality—from statistically
valid estimates to informed guesses. By analyzing the underlying quality of numerical estimates, summarized as spread and
grade, we are able to provide simple rules whereby input data can be coded for quality, and these codings carried through
arithmetical calculations for assessing the quality of model results. For this we use the NUSAP (numeral, unit, spread, assessment,
pedigree) notational system. It allows the more quantitative and the more qualitative aspects of data uncertainty to be managed
separately. By way of example, we apply the system to an ecosystem valuation study that used several different models and
data of widely varying quality to arrive at a single estimate of the economic value of wetlands. The NUSAP approach illustrates
the major sources of uncertainty in this study and can guide new research aimed at the improvement of the quality of outputs
and the efficiency of the procedures. |
| |
Keywords: | Uncertainty Data quality NUSAP Environmental policy Policy-relevant research |
本文献已被 SpringerLink 等数据库收录! |
|