In my last blog post, I tried to identify seminal papers using a variety of methods. These were divided into two main categories.

I was recently asked a question - how do you find seminal papers/work/research?

As academic librarians helping early-stage researchers (Masters, Phds students), we are often asked to provide guidance on the literature review process in one shot classes.

As I write this, OpenAI has just unleashed ChatGPT - their GPT3.5 Large Language Model(LLMs) for about a month, and the online world is equal parts hype and confusion.

Epistemic status : I have been reading on and off technical papers on large language models since 2020, mostly get the gist but don't understand the deepest technical details. I have written and published on academic discovery search for most of my librarianship career since 2008. Since the 2000s the way search engines have worked has not changed.

I've started seriously studying and blogging about Open Access since 2012, starting off by reading books by Walt Crawford and Peter Suber and since then I've continued to read and muse about the issue covering everything from

I recently came across "Automated citation recommendation tools encourage questionable citations" (which was first brought to my attention by this blog post) an exceedingly thought-provoking article about bias in discovery tools, particularly new ones that can

With open scholarly data (metadata and full-text) becoming increasingly available, it is natural to see attempts to apply the latest deep learning techniques to try to see if one can ease the burden of doing literature review.

My blog usually takes the view that most of our users do not start at the library homepage as a truism and since the beginning of the blog in 2009, I have covered tools that help users "get back" to library resources or at least easily check for availability via their library catalogs or library discovery service.

I've been writing about the rise in availability of open Scholarly metadata (in particular Open Citations) as far back as 2018 and how they might impact academia.

I've always had an interest in bibliometrics, and while I have served in teams supporting bibliometrics in the past (2010-2015) and enjoy reading and skimming bibliometrics papers, I have never been officially given the title of a librarian supporting bibliometrics.