Our series of annual UIRC scoreboards has been a helpful source for a wide range of users worldwide. We are grateful for their continued interest and support over the years.
It is time for a change. Rather than releasing a 2015 update of this 2014 version, we intend to launch a new and innovative tool in 2016. A web-based free-access platform with more high-quality information and a user-friendly architecture.
UIRC 2014 will remain online until the 2016 upgrade goes live. Further announcements will be made, in due course, on the CWTS website.
Are you interested to know about your own university's UIC profile, and would you like to receive additional UIRC data? A UIC map of your own university's profile? A list of your university's major research partners in industry? Or perhaps a customized full report, with several other features added? If so, please contact Robert Tijssen or Alfredo Yegros.
UIRC 2014 is a publicly-available information tool on university-industry research connections and cooperation worldwide. It presents quantitative data on the occurrence of university-industry research cooperation within each of the world’s 750 largest research universities, the same set of institutions as in our CWTS Leiden Ranking 2014. The empirical information is derived from our in-house data-mining and data-analysis of university-industry co-publications (UICs).
Each UIC contains at least one author affiliate address referring to that 'source' university and one or more addresses referring to a business enterprise. As such, these co-authored research publications represent a visible link between a university and industry. They are an output of successful research cooperation and other research-related connections with the business sector. Background information on this analytical approach can be found in:
Tijssen, R.J.W. (2012). Co-authored research publications and strategic analysis of public-private collaboration, Research Evaluation, 21, 204-215. (paper)
The UICs were extracted from the CWTS licensed edition of 'Thomson Reuters' Web of Science (WoS), an international bibliographical database on peer-reviewed scientific journals and conference proceedings. Our data relate to WoS-indexed publications in the years 2009-2012.
The frequency counts of UIC publication output is derived from a counting scheme where each UIC is assigned in full to all main organizations indicated in the author address list. Hence, each UIC counts as one when the source university is mentioned. Based on these UIC counts, we developed four performance indicators per university:
Note: a UIC may have multiple classifications (local, domestic and foreign) if several companies are mentioned in the author addresses.
Our 2014 edition introduces a geographical breakdown of each university's industrial research partners into 'local partners' within a 50 kilometer range of the university's city center, 'domestic partners' located within the same country, and the 'foreign partners' abroad. Details are provided in the next section.
Another novel feature on our UIRC website are our 'UIC maps', graphical displays that present the distribution of all UICs across the landscape of science. There's one at the worldwide level, two examples of country-level maps, and a few of the world's top research universities. Browse across a map and you see the names pop-up of a few major companies involved in UICs in that specific area. See section 'UIC maps' for more information.
These UIC scores are computed across all fields of science collectively ('All sciences'), as well as by individual broad field of science. These seven broad fields are identical to those used in the CWTS Leiden Ranking 2014:
Note: UIC data at the lower level of subfields is available to UIRC 2014 users upon request.
To provide an overview of UIC activity within the scientific landscape, several VOSviewer maps have been created to represent the UIC activity: (1) worldwide; (2) two countries (United States, The Netherlands), and (3) six major universities (Harvard University, USA; Massachusetts Institute of Technology, USA; University of Cambridge, United Kingdom; ETH Zurich, Switzerland; University of Tokyo, Japan and Tsinghua University, China).
Three images are shown below representing three different views of worldwide university-industry co-publication activity across world science within the WoS database. In the first map ('subject area clustering'), related subject areas are grouped together into color coded clusters. The color of a subject area indicates the cluster to which belongs, gathering several subject areas into broader scientific areas. In the 'relative UIC activity' map the size of each subject area represents its number of university-industry co-publications. The color scale (ranging from blue to red) represents the UIC activity in each subject area relative to the worldwide average level. Red areas concentrate an above-average share of UICs; blue areas have relatively few UICs. In the 'UIC Density' map each of the subject areas are represented by a label. The coloring reflect the density of subject areas in that section of the map. The larger the number of areas, and the higher the number of UICs of the neighboring areas, the color moves from blue (low density) to red (high density). The horizontal and vertical axes of the map are arbitrary and have no special meaning
Clicking on a map allows the exploration of the map using the VOSviewer software. The software requires Java version 6 or higher to be installed on your system.
Note: some of the main companies co-publishing with each of the six selected universities can be visualized in the density map by placing the pointer of the mouse over the red areas in the map. The company names will pop-up and their country of location (indicated in ISO code).
Worldwide UIC map - subject area clustering
Worldwide UIC map - Relative activity
Worldwide UIC map - UIC Density
We accept no liability in relation to the use of this information source. CWTS is committed to producing high quality data and have taken precautions to ensure no major errors are present in UIRC 2014. While our data-collection and data-analysis processes are designed to minimize the risk of missing data and computational errors, minor inaccuracies or anomalies may nonetheless occur. In case of reasonable doubt, UIRC 2014 users are kindly invited to point out such possible errors.