This week’s recap highlights new methods in genetic epidemiology, mostly centered around genomic data sharing and privacy-preserving methods: a short commentary on genomic data sharing highlighting how new challenges complicate large-scale data sharing practices, a privacy-preserving method for QTL mapping, privacy-preserving methods for federated biobank-scale GWAS analysis, a Nextflow pipeline for polygenic score QC and construction, and new

I realize that the titular statement is open to misinterpretation so let me head that off at the pass: I’m not saying this prescriptively, like you should learn anatomy to become a better person (you should learn anatomy because it’s accessible and it rules), or that knowing anatomy makes people better. I’m also not saying this distributively, like anatomists are better people than non-anatomists.

Introduction I’ve been exploring how artificial intelligence is transforming our lives. It’s doing incredible things—think better medical diagnoses or self-driving cars—but there’s a darker side that’s tough to overlook. AI is being weaponized to create and spread misinformation, especially in politics, and it’s a growing problem. I stumbled upon research in Nature by Garimella and Chauchard (2024) that really opened my eyes.

How QwQ-32B Is Redefining Efficiency and Reasoning in Open-Source AI

This post explores and analyses the article ‘How to track the economic impact of public investments in AI’ by Julia Lane and colleagues. The article was published in 2024. For the open-source version of this blog post, please click this link.

This seems to have gone under the radar: Accelerating Access to Research Results: New Implementation Date for the 2024 NIH Public Access Policy. It’s a memo from Jay Bhattacharya, director of the NIH (the United States’ National Institutes of Health): Well, this is tremendous news. The NIH is the biggest single funder of health research in the USA, and making all the work that it funds immediately open access is a huge win.

We’ve been accelerating our metadata development efforts and recently released version 5.4 of our metadata schema, and are planning to release version 5.5 (including support for multiple contributor roles and the CRediT taxonomy) this summer. We will also extend our grants schema based on the Funders Advisory Group work, and make progress on other changes as set out on our new metadata development roadmap.

Following my recent talk for the Boston Library Consortium, many of you expressed a strong interest in learning how to test the new generation of AI-powered academic search tools.

2024 was a banner year for dataset resources in DataCite. The National Institute of Fusion Science registered over 10,000,000 datasets. These metadata are remarkably complete - a bright spot demonstrating great metadata at scale.

In this dual case study, we learn why the Howard Hughes Medical Institute (HHMI) relies on OA.Report and why OA.Report relies on ROR to help HHMI track compliance with its open access policy. “Even back then [in 2019], the best option was to lean on a big, community-owned solution. And it’s been great to see ROR effectively become the standard, the clear way forward for identifying organizations.” “We think ROR is terrific.

Wenn mich jemand fragt, was ich eigentlich gerade beruflich mache, antworte ich: Hauptsächlich erstelle ich eLearning-Materialien für ein Datenkompetenzzentrum . An dieser Stelle bekommt mein Gegenüber dann glasige Augen und versucht, möglichst schnell das Gesprächsthema zu wechseln.