The Australian Research Quality Framework: A live experiment in capturing the social, economic, environmental, and cultural returns of publicly funded research

By C. Donovan. 2008

110 citations recorded by the source corpus.

Subfields: Information Systems, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/16f0e210a9cc393da92be75ea2663941818fbf4c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Lutz Bornmann
2. Loet Leydesdorff
3. John C. Mingers
4. Nicole Mitchell

In Statistics and Probability

1. Lutz Bornmann
2. Loet Leydesdorff
3. John C. Mingers
4. S. Ceci
5. Judit Bar-Ilan
6. Nicole Mitchell
7. Mike W.-L. Cheung

Citations in the corpus

• What is societal impact of research and how can it be assessed? a literature survey (2013, background): “Donovan (2008) refers to the first phase as technometrics.”
• From productive interactions to impact pathways: Understanding the key dimensions in developing SSH research societal impact (2019, background): “…article, we omit an extensive discussion of this literature because it has not proven influential in shaping research impact evaluation policies (Donovan 2017), something we see as being linked to the desire to take allocative decisions (see Section 2.1) rather than to understand research…”