Data for "An Improved Practical Approach to Forecasting Exceptional Growth in Research"

Indicator data for 20,747 clusters from a global model of science. Two binary independent variables (X3, X4) denote which clusters achieved exceptional growth (minimum 8% annually) over three and four years with a forecast year of 2016. Eighty-one dependent variables (or indicators) are also included. Each has been standardized such that the value represents the number of standard deviations from the mean over all clusters. These values were subject to probit analysis in the accompanying paper (under submission at QSS) to determine which combination of indicators provides the best forecast of which cluster would achieve exceptional growth.