The role of a university is manifold. Being a place where people can find knowledge and the track record how that knowledge was reached is often seen as part of that. Over the past decades universities outsources this role, for example to publishers. This is seeing a lot of discussion and I am happy to see that the Dutch Universities are taking back control fast now.
I am pleased to learn that the Dutch Universities start looking at rankings of a more scientific way. It is long overdue that we take scientific peer review of the indicators used in those rankings seriously, instead of hiding beyond fud around the decline of quality of research.
A bit over a year ago I got introduced to Qeios when I was asked to review an article by Michie, West, and Hasting: “Creating ontological definitions for use in science” (doi:10.32388/YGIF9B.2). I wrote up my thoughts after reading the paper, and the review was posted openly online and got a DOI. Not the first platform to do this (think F1000), but it is always nice to see some publishers taking publishing seriously.
And just like that, without a warning, Twitter changed policies again, and you now need a Twitter account and be logged in to see public tweets: Twitter has started blocking unregistered users (The Verge). Though I learned it first via Mastodon, of course.
Some years ago we started the ELIXIR Toxicology Community. It has been an interesting journey, partly covered in this whitepaper). We started with interaction we had in several projects already, but particularly the potential. I see this. This series of posts is a number of things toxicology projects can do to benefit from ELIXIR solutions (“services”). The posts have been sent first to the ELIXIR Toxicology Community mailing list (please join!).
When last week in a large (and relevant) Dutch research event ChatGPT came up, and that this was going to change the world. Even the critiques came up, but were effectively disregarded with “these methods get better very quickly”. This is not untrue, but not really true either. I murmur “not even wrong”. I know how hard it is to get computers to find meaningful patters; I did a PhD in this in the early 21st century.
I think that if you want to make your knowledge FAIR, you should use an open license and RDF. Simple. Now, not everything is knowledge. A lot of data is, but a lot more is not, think raw data. Using RDF to explain a protein sequence is still something that makes me feel uneasy.
Okay, the Pilot is over ending with 17 papers, 16 of which have CiTO annotations (and so far 4 J.Cheminform. papers after the pilot), but my interest in the Citation Typing Ontology continues and we just need more adoption.
Sometimes I think back about how Scholia started, and then I think I remember a Twitter discussion. Twitter was a social platform that was unable to fight hate speech. I left it last year in favor of Mastodon.
There are multiple initiatives to support the migration from Twitter to Mastodon (see also this blog post ). But Wikidata should not be forgotten here which has been tracking Mastodon accounts of things in their database: