Statistics for Responsible Bibliometrics

Mike Thelwall Professor of Data Science, University of Wolverhampton
Dr Abigail McBirnie Senior Manager, EPSRC
Ian Rowlands Research Information & Intelligence Specialist, King’s College London
26th March 2018 9:30 am
26th March 2018 4:30 pm
Room MI133, University of Wolverhampton, Wulfruna Street, Wolverhampton, WV1 1LY   View map
0131 357 9854


This course is limited to 1 place per institution.  Although you will receive an automatic confirmation, please do not book any travel arrangements until you have received final confirmation of your place by email. If you would like to check if your institution already has booked a place before you book, please get in touch.

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9.20 Arrival and Registration

9.30 Welcome and Introduction (course aims, overview of what course includes/excludes)

9.45 Statistical starting points (introduction and overview to some statistics essentials)

10.40 Hands on with R (navigating and writing commands in R, practice producing basic statistics)

11.10 Coffee break

11.35 Refresher: how key normalised bibliometrics are calculated

12.30 Lunch (brown bag, cafe on site, or visit nearby city centre)

13.15 Quantifying uncertainty (confidence intervals, bootstrapping, and transformations)

14.10 Using statistics to promote responsible metrics - part 1: how quantifying uncertainty can help

14.35 Coffee break

15.00 Inferring difference (hypothesis testing, statistical power, adjusting for multiple comparisons)

15.55 Using statistics to promote responsible metrics - part 2: can I really draw this inference?

16.20 Course summary, time for additional questions/discussion, wrap up

16.30 Finish


This course has been designed with Bibliometric, Library and Research Office staff in mind for whom bibliometrics is now a part of their role, but who have had little or no statistics training.  In one intensive day, the course aims to introduce a set of statistical approaches that can be incorporated into common bibliometric analyses to help with the responsible interpretation of those analyses.  Delegates will have hands-on statistical practice using the open source software package ‘R’.  No prior experience with R is necessary.  While an overview of basic statistical concepts will be provided, please bear in mind that this course is not intended as a traditional introduction to statistics.  Instead, the focus is very much on using statistics specifically in a bibliometric context—and a lot of that is not about using the statistics you would learn in most introductory courses, hence the reason we are running our own bespoke course for the community!  The event will be free in return for detailed feedback about the course to help inform its development. The course is being co-taught by Mike Thelwall, Ian Rowlands, and Abigail McBirnie.


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