The social media landscape is so different today from when I started participating around 2011. Things change, and that is okay — when the old dies, it becomes the compost for something new. For me, something new sprouted from Twitter's compost beyond just joining Mastodon: I am taking over as the admin for the Mastodon server akademienl.social.

A value-led perspective on Open Science In 2021, UNESCO approved its Recommendation on Open Science (OS). By signing this recommendation, 193 countries made a commitment to support the development of OS with a vision of science as a global public good.

When the Shanghai Ranking, also known as the Academic Ranking of World Universities (ARWU), was launched in 2003, Ton van Raan, director of CWTS at the time, sounded the alarm about the problematic way in which the ranking uses bibliometric data, for instance in attributing publications to universities.

The need to increase the transparency of university rankings is widely recognized, for instance in the ten rules for ranking universities that we published in 2017, in the work done by the INORMS Research Evaluation Working Group, and also in a recent report by a Dutch expert group on university rankings (co-authored by one of us). It is therefore not surprising that the announcement of the Open Edition of the CWTS Leiden Ranking in 2023 got

The first month of the new year has almost come to an end, and we at OpenCitations have dedicated these weeks after the holiday season to retrace the progress we reached as an open infrastructure throughout 2023, an activity that has become a tradition in the past few years.

I read a lot of news, but I do not like being consumed by it. The balance between what's happening now (news), the short or long past (history), and potential futures (foresight or analysis) is a rough one to keep. This post is about making sure that sources are readily accessible where possible, straight from the news. Part of not becoming consumed by the news and its biases is doing source research and verifying information.

Classifying research publications into research topics or research areas is crucial for many bibliometric analyses. While there are lots of approaches for classifying publications, most of these approaches lack transparency. Although there are exceptions (see here and here), these approaches are typically based on data from proprietary sources or they rely on non-transparent algorithms.

During multiple testing, researchers often adjust their alpha level to control the familywise error rate for a statistical inference about a joint union alternative hypothesis (e.g., “ H1 or H2 ”). However, in some cases, they do not make this inference.

How to find the most relevant scientific literature on topic X? How to evaluate the research carried out by department Y? And how to establish new strategic priorities for university Z? These are just a few examples of the many important decisions that researchers, research evaluators, and science policy makers need to make on a daily basis.

The past years have shown that science can play an important role in societal debates. Science was clearly pivotal in the development of COVID-19 vaccines. In addition, many of the interventions and policies, such as masking, school closures or even curfews, were presented as evidence-based solutions, motivated by scientific advances in our understanding of the virus.