LIBER recently established a Metrics Working Group, within the remit of the Scholarly Communication and Research Infrastructures Steering Committee.
The members of the Working Group stem from a variety of research libraries and research institutions and are all considered experts in the field having extensively worked with or studied traditional as well as alternative (i.e. social media-based) metrics.
- Dr Kasper Abcouwer, University of Amsterdam, Netherlands
- Dr Isidro F. Aguillo, Cybermetrics Lab, CSIC, Spain
- Nathalie Cornée, Information Research Analyst and LSE Open Access Officer, LSE Library, London
- Dr Ellen Fest, Wageningen University, Netherlands
- Dr Juan Gorraiz, University Library Vienna, Austria
- Dr Stefanie Haustein, University of Montréal, Canada
- Dr Kim Holmberg, University of Turku, Finland
- Najko Jahn, Project Coordinator and Innovation Management Officer, University of Bielefeld, Germany
- Dr Peter Kraker, KNOW-CENTER, Austria
- Dr Ania Lopéz, University of Duisburg-Essen, Germany
- Alenka Princic, Head of Research Support, Delft University of Technology Library, Netherlands
The Working Group is chaired by Sarah Coombs (Saxion University of Applied Sciences, Netherlands) and Professor Isabella Peters (ZBW Leibniz Information Centre for Economics, Germany).
The primary focus of the Metrics Working Group is to exchange best practices that can be used to develop recommendations for the optimal use of metrics in research libraries and information infrastructures regardless of its size, budget or experience level. Further, this group will discuss the possibilities for Open Metrics and what this can entail. Its deliverables include:
- Workshop at LIBER 2017
- Open meeting of the Metrics WG at LIBER 2017
- Updates on progress to be regularly published on the LIBER website. Final deliverable (the recommendations) to be published online, and as a PDF.
Work has begun, including a proposal for an article in Digital Library Perspectives (DLP). This article will be the starting point for the definitive paper with recommendations and will acquaint journal readers with definitions of the basic terminology used in the field of scholarly and alternative scientometrics and will highlight the problems attached. The article will then cater to librarians with uses cases, and starting points to make proper and efficient use of metrics. Hence, the recommendations will evolve around following specific dimensions and questions in order to meet the needs and interests of the broadest audience possible:
- Type of approach: is it beginners or advanced users who are interested in metrics?
- Purpose: what is the reason for using metrics (i.e. use cases)?
- Data source: what kind of data is needed for the use case? Is enough data available (e.g. in repositories)? Is the data source suitable for the purpose (e.g. repositories, CRIS)?
- Indicators (e.g., impact factor): what indicators make sense for what use case? What can they actually tell and what conclusions are wrong?
- Data provider: who is responsible for gathering data (do it yourself, we do it with you, we do it for you)?
- Limitations: what cannot be done with metrics? What can libraries do to overcome the limitations, e.g. open metrics or other alternatives?