Posts Tagged: indicator development

Bibliometrics Higher education Science policy
Research impact now!
September 21, 2017
0
, , , , ,
In my previous post, I laid out some history of research assessment and measurement, all so that in this post I could explore research impact assessment, which was a major topic of discussion at the 2017 Science & Technology Indicators (STI) conference in Paris. In this post, I’ll summarize the major lines of discussion I encountered at STI, use the history from the last post as a basis for diagnosing those underlying challenges, and perhaps even hint at some avenues to resolve these tensions.
Bibliometrics Higher education Science policy
A short history of research impact
September 14, 2017
2
, , , , , ,
During the 2017 Science & Technology Indicators (STI) conference in Paris, a number of discussions touched on impact assessment, which has been a topic of growing interest within the research community. That researchers are increasingly aware of impact, impact pathways and impact assessments comes as no great shock, given that the research policy community is increasingly focusing on impact as the basis for funding decisions. The discussions at STI raised some substantive concerns with the current trajectory of discussions about research impact. In this post, I’ll lay out some relevant history (as I understand it) that contextualizes current discussions about impact. In the next installment, I’ll summarize those points from STI 2017 that stood out to me as the most insightful (and provocative), drawing on the history laid out here in order to explore what I think these comments reflect about the underlying research system.
Data mining Science policy
Data mining: Cross-boundary collaboration and innovation
September 6, 2017
0
, , , , , , ,
In our data mining project for the European Commission, two of the six case studies treated levers for promoting innovation, and we’ll start to tease those apart here. In brief, collaboration across disciplinary and sectoral boundaries is believed to promote innovation, while innovation in turn is believed to support broader economic and social prosperity. Even […]
Data mining Science policy
Data mining: The value of a scoping phase
August 16, 2017
0
, , , , ,
In previous posts in our data mining series, we laid out our initial technical framework for guiding data mining projects, then supplemented that with plug-ins to facilitate its use for R&I policy research specifically. These plug-ins helped to overcome the challenge of applying a generic framework to a specific thematic area. However, there was another […]
Data mining Science policy
Data mining: Technical framework plug-ins for the R&I context
August 9, 2017
0
, , , , ,
In my previous post, I outlined the initial technical framework developed by Science-Metrix in the course of the data mining project for the European Commission documented in this blog series. This initial data mining framework—strongly inspired by existing frameworks—provided a solid foundation on which to build. However, to support data mining in a policy context […]
Data mining Science policy
Data mining: The root of a technical framework
August 2, 2017
0
, , , , , ,
Continuing on in our series of posts on data mining for policymaking, this post presents the initial technical framework developed by Science-Metrix to guide the conduct of data mining projects in a government context (with some shout-outs to other contexts as well). This seven-step framework formed the basis of our case studies, and effectively lays […]
Data mining Science policy
Data mining for policymaking
July 26, 2017
1
, , , , ,
Throughout 2015 and 2016, we at Science-Metrix worked on a project for the European Commission that focused on data mining and big data analytics in the context of policymaking, specifically research & innovation policy. While carrying out this work, we learned some fascinating and valuable things, and so rather than leave all that knowledge locked […]
Bibliometrics Database Higher education Leiden Manifesto Science policy
Interdisciplinarity: the mutual adjustment of concept and indicator
December 8, 2016
0
, , , , ,
In their recently released report, Digital Science describe and assess the relationship between a range of candidate indicators for interdisciplinarity. Their objective is to assess the consistency between the indicators and attempt to discern a front runner in this race. Ultimately, though, they conclude that the indicators produce inconsistent findings, and finish with some remarks […]
Bibliometrics Science policy Web of Science
Establishing the prevalence of the gender dimension in research
September 16, 2016
0
, , , , , ,
About 7% of social science research and about 4% of medicine and humanities integrate a gender dimension. In agricultural and natural sciences as well as engineering and technology there is a vanishingly small amount of research involving gender. Sweden’s research has the strongest commitment to researching gender issues, with almost 9% of social sciences and […]