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.
The Promise and Challenges of Prompting in Creative Applications
A Step-by-Step Guide
This article explores and analyses the paper ‘Persistent Identification and Interlinking of FAIR Scholarly Knowledge’ by Muhammad Haris, Markus Stocker and Sören Auer from ML3S Research Center, Leibniz University Hannover. The paper was published in 2022.
Towards a Comprehensive Classification System for Healthcare AI Applications
This is the April issue of the monthly newsletter from the Rogue Scholar science blog archive. The newsletter reports on new blogs that have joined the platform, important technical updates in Rogue Scholar infrastructure, community updates, and other news relevant to Rogue Scholar users.Blogs added to Rogue Scholar Nine blogs from six different subject areas were added in April. Welcome everybody!