New EIFL Guide
Non-profit organisation Electronic Information for Libraries (EIFL) launched a new guide on rights retention and secondary publishing rights to raise awareness, support researchers and authors in EIFL partner countries and improve the achievement of open access to research.
The new guide was jointly produced by the EIFL programmes on Open Access and Copyright and Libraries, and displays the key issues, how researchers can benefit, and how libraries can support their researchers in the process.
Rights retention and secondary publishing rights are two ways to address the issue in support of open access and open science. The issue in question is that traditional publishing agreements often restrict the immediate sharing and reuse of research work in open access because they typically involve the transfer or assignment of copyright from the author (or their institution) to the publisher. The guide sets out the principles and benefits of rights retention and secondary publishing rights, explains how to achieve those, and includes a list of useful resources.
ODIPI is organizing ERA KR21 Conference: Barriers and Incentives for Open Science in the Copyright Law that will take place on 2 December, 2024 at Hotel Four Points by Sheraton (Mons) in Ljubljana and also online.
The District Court of Hamburg ruled in the case of Kneschke v. LAION e.V. that LAION did not infringe the copyright of photographer Kneschke, as the use of his photograph was covered by the exception for text and data mining (TDM) for scientific purposes.
“Can copyright bring artificial intelligence to its knees? Which other circumstances may cause that the “making” of generative AI can dramatically change in the (near) future. This short paper presents potential challenges that copyright poses to the training of the machines on large amount of data. Different jurisdictions address these issues differently. In the USA the legality of these activities is tested in several court cases. Do gentlemen’s agreements and pragmatic symbiosis known from the “search engines business model” provide sufficient basis and/or incentive for the business model of “making” generative AI business model as well?