Weekly digest: AI policy, mandating ORCID and celebrating PIDfest

Deya Deb

This week, we read an article probing the fine line between research integrity and AI usage. We read about the mandating of ORCID for all authors submitting to IOPP journals, and we retrospect on the first PIDfest. Finally, we read about the expansion of IOPP’s Machine Learning series and examine a landscaping report of African diamond OA journals, which explores the significance of funding and resources in maintaining high-quality publishing.

AI publisher policies via The Scholarly Kitchen | 10-minute read

As artificial intelligence (AI) increasingly permeates the scholarly publishing landscape, the need for robust guidelines and policies emerges. But how can publishers continue to safeguard research integrity in such an expansive and rapidly evolving field? In this article, Avi Staiman (Founder and CEO of Academic Language Experts) explores the potential for a dynamic, industry-wide framework akin to the European Union AI Act, advocating policies that differentiate for substantive and non-substantive AI use. 

IOPP make ORCID mandatory via IOPP | 1-minute read

Institute of Physics Publishing (IOPP) are making Open Researcher and Contributor iDs (ORCID) mandatory for all authors across all journals from July 2024. The step aims to reduce author ambiguity, strengthen research integrity and foster transparency in research communication.

Reflections from PIDfest via The Scholarly Kitchen | 13-minute read

Taking place from 11–13 June, the inaugural PIDfest brought together nearly 300 global stakeholders for a three-day exploration of how persistent identifiers (PIDs) can support global research infrastructure. Here, Alice Meadows, Phill Jones (Co-founders of MoreBrains Cooperative) and Todd Carpenter (Executive Director of the National Information Standards Organization) reflect on sessions exploring national PID strategies, challenges to equitable access and research infrastructure.

IOPP expands Machine Learning series via IOPP | 2-minute read

IOPP are expanding their open access (OA) Machine Learning series with three new journals dedicated to health, earth sciences and engineering. These multidisciplinary journals aim to serve the intersection between machine learning (ML), AI and their application to board science disciplines. Tim Smith (Head of Portfolio Development at IOPP) hopes that the expansion of the series will facilitate the “transformational” potential of ML and AI “in accelerating the advance of new scientific knowledge and discovery”.

The future of diamond OA journals in Africa via EIFL | 4.5-hour read

What steps are required to strengthen the sustainability and quality of diamond OA journals in Africa? This landscape study, conducted as part of the three-year Collaboration for sustainable open access publishing in Africa project, found that nearly three quarters of the 199 respondents have insufficient funding streams, and half have a lack of human resource. The full report can be found here.


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