A Springer-Nature survey of librarian views on open access.
“I’ve decided to quit academia.edu and researchgate and put all of my pre-prints/manuscripts on PsyArXiv. I deleted any manuscript copies that I had uploaded to academia.edu and RG and removed my accounts from them. I’m writing you because you posted a copy of our collaborative work on researchgate. It is of course your prerogative as to how you share our work, but I thought I might ask you to consider taking that copy of our paper down. I’m trying to streamline access points for our work and also to redirect traffic away from these commercial sites. PsyArXiv is indexed by Google scholar, so the work remains freely accessible in a space backed by a non-profit entity (the Open Science Framework). Another benefit of OSF is that it is backed by a large preservation grant, so that the works on PsyArXiv will be supported in perpetuity even if OSF grows or changes.”
“Today, Authors Alliance joins with other public interest advocates such as Creative Commons, SPARC, Internet Archive, OpenMedia, and Public Knowledge to sign on to a statement in support of transparency and balanced copyright policy in the renegotiation of the North American Free Trade Agreement (NAFTA). The statement was sent to the trade ministries of Mexico, the U.S. and Canada, urging all three countries to make trade negotiation processes more transparent, inclusive, and accountable.
Closed-door trade agreements are not the right forum to create intellectual property policy, particularly when negotiations lack transparency. It is critically important that drafts of international agreements that address intellectual property issues be publicly available for comment so that authors and other stakeholders can weigh in on the proposed rules that will bind all member states. Moreover, such agreements are not flexible enough to account for rapid changes in technology.”
“With the increased interest in computational sciences, machine learning (ML), pattern recognition (PR) and big data, governmental agencies, academia and manufacturers are overwhelmed by the constant influx of new algorithms and techniques promising improved performance, generalization and robustness. Sadly, result reproducibility is often an overlooked feature accompanying original research publications, competitions and benchmark evaluations. The main reasons behind such a gap arise from natural complications in research and development in this area: the distribution of data may be a sensitive issue; software frameworks are difficult to install and maintain; Test protocols may involve a potentially large set of intricate steps which are difficult to handle. To bridge this gap, we built an open platform for research in computational sciences related to pattern recognition and machine learning, to help on the development, reproducibility and certification of results obtained in the field. By making use of such a system, academic, governmental or industrial organizations enable users to easily and socially develop processing toolchains, re-use data, algorithms, workflows and compare results from distinct algorithms and/or parameterizations with minimal effort. This article presents such a platform and discusses some of its key features, uses and limitations. We overview a currently operational prototype and provide design insights.”
“The world’s first academic science journal, Philosophical Transactions, was published by the Royal Society in 1665. At last count there were some 11,365 science journals spanning over 234 disciplines by 2015, and yet the primary model of scientific publishing remained largely unchanged throughout the centuries.
As a fresh-faced, naïve PhD student, I recall the horror I felt upon learning that my hard work would be at the mercy of a veiled, political peer-review process, that I’d be left with little option but to sign away my rights to publishers, and too often forced to choose between burning a hole in my wallet or forgoing access to a potentially critical paper!”
“Academia has teamed up with Encyclopedia Britannica to offer access to all of Britannica’s content to Academia Premium users.
Academia is also inviting its members to contribute as authors on Britannica’s Publisher Partner Program. We’ve joined dozens of institutions including UC Berkeley, Northwestern University, the University of Melbourne and others in support of the initiative, which aims to expand Britannica’s free, open access content.”
In 2014, University of California, Davis University Library and the California Digital Library collaborated on an Andrew W. Mellon Foundation grant-funded project to explore costs associated with moving scholarly journal subscriptions in the U.S. market entirely to an Article Processing Charge business model, known also as ‘Gold Open Access.’ We contacted MacKenzie Smith, one of the principal investigators, in order to get her reflections on the process of gathering the data, and to discuss some implications of the findings. The interview suggests that the ‘Pay It Forward’ model could be successful over time, following a necessarily complex transition period.