Guest post: Responsible research evaluation starts here

Jonathan Adams from Clarivate Analytics discusses how to responsibly use and interpret bibliometric data through a list of caveats and requirements prior to starting the planning of research evaluations. Ensuring the responsible use of data about research activity has become an increasing problem over the last twenty years. As the owners and champions of the …

The challenge of measuring open research data

Lizzie Gadd & Gareth Cole discuss the practical challenges of monitoring progress towards institutional open research data ambitions. Loughborough University has recently introduced a new Open Research Position Statement which sets out some clear ambitions for open access, open data and open methods. As part of this work we’re looking at how we can monitor …

Guest Post: Understanding SciVal’s calculation of field-weighted percentile indicators

Marianne Gauffriau (Copenhagen University Library, Denmark) and Yrjö Leino (CSC – IT Center for Science, Finland) explore SciVal's calculation of field-weighted percentile indicators and the lesser-known implications of this method. Introduction This blog post is inspired by a question frequently posed to Marianne in her role as Coordinator of the Bibliometric Service at Copenhagen University …

AI-based citation evaluation tools: good, bad or ugly?

Lizzie Gadd gets all fancy talking about algorithms, machine learning and artificial intelligence. And how tools using these technologies to make evaluative judgements about publications are making her nervous. A couple of weeks ago, The Bibliomagician posted an interesting piece by Josh Nicholson introducing scite. scite is a new Artificial Intelligence (AI) enabled tool that …