Dataset Open Access

Supporting information - A value creation model from science-society interconnections: Components and archetypes

Ramos-Vielba, Irene; Robinson-Garcia, Nicolas; Woolley, Richard

Data protocol and datasets used for the study entitled 'A value creation model from science-society interconnections: Components and archetypes'. 

Abstract of the paper:

The interplay between science and society takes place through a wide range of intertwined relationships and mutual influences that shape each other and facilitate continuous knowledge flows. Stylised consequentialist perspectives on valuable knowledge moving from public science to society in linear and recursive pathways, whilst informative, cannot fully capture the broad spectrum of value creation possibilities. As an alternative we experiment with an approach that gathers together diverse science-society interconnections and reciprocal research-related knowledge processes that can generate valorisation. Our approach to value creation attempts to incorporate multiple facets, directions and dynamics in which constellations of scientific and societal actors generate value from research. The paper develops a conceptual model based on a set of nine value components derived from four key research-related knowledge processes: production, translation, communication, and utilization. The paper conducts an exploratory empirical study to investigate whether a set of archetypes can be discerned among these components that structure science-society interconnections. We explore how such archetypes vary between major scientific fields. Each archetype is overlaid on a research topic map, with our results showing that different archetypes correspond to distinctive topic areas. The paper finishes by discussing the significance and limitations of our results and the potential of both our model and our empirical approach for further research.

Files (7.9 MB)
Name Size
7.4 MB Download
131.3 kB Download
332.1 kB Download
All versions This version
Views 1515
Downloads 1919
Data volume 10.4 MB10.4 MB
Unique views 1313
Unique downloads 1212


Cite as