I was recently invited to the OCLC Asia Pacific Regional Conference Meeting 2018 in Bangkok to speak.

I expect that most readers of this blog are familar with Lorcan Dempsey's idea of distinguishing between "outside-in" vs "inside-out" activities for libraries.

I first read about Lens.org via a tweet on my way back from a conference in April 2018.

It's not big secret that Machine learning and AI is an increasingly important topic to study.

As the battle for open access , or more accurately the route taken to open access rages on, I have become aware of the rise of a new type of "open" - the quest for "open infrastructure".

I have been recently thinking about dataset discovery, most recently on the possible impact of Google Dataset search.

It seems like just a short time last year in May where I blogged about the new iteration of Microsoft's academic search dubbed "Microsoft Academic" which was then in beta and it eventually left beta at the end of the year.

I’ve recently come across an idea known as inversion.

It has been a very eventful couple of weeks in the academic, publisher and library related worlds with regards to the push towards open.

Update Aug 2020 - The main thrust of this response is to point out RA21 type solutions do not handle the appropriate copy problem.

Open access is a complicated business. Everytime I think I understand it (and I've blogged a lot on it, trying too get to gripes with it - in particular this post), some new nuance appears to make me realize I don't really understand  at all. In this case, my mind was blown when I learnt that there was  wall of shame for posting preprints on Bioarxiv!   But let's back up a bit and talk a bit about preprints first.