Blogs selected for Week Jul 13 to July 19, 2020 -



1. Open-access Plan S to allow publishing in any journal

Funding agencies behind the radical open-access (OA) initiative Plan S have announced a policy that could make it possible for researchers to bypass journals’ restrictions on open publishing. The change could allow scientists affected by Plan S to publish in any journal they want — even in subscription titles, such as Science, that have not yet agreed to comply with the scheme. Plan S, which kicks in from 2021, aims to make scientific and scholarly works free to read and reproduce as soon as they are published.

The full entry can be read: Here.

2. Guest post — is it time to (finally) get serious about submission charges?

A pandemic like COVID-19, with its associated disruption of the economy, creates distortions which can illuminate opportunities and which mandate a rethinking of business as usual. While some have predicted that the number of journal submissions will decline based on closure of wet labs due to social distancing, at least for now, the opposite seems to be true at numerous publishers. Submitting for publication in a journal is in many ways like applying for admission to a university in terms of allocation of scarce resources, and submission fees can serve the same ends as application fees. The advantages of submission charges in terms of increasing revenues while decreasing costs seem clear, and such charges have been adopted at a small minority of journals. The reasons, why they have not already been more broadly adopted, might be culture, equity, lack of perceived value, competition, and workflow.

The full entry can be read: Here.

3. 4 reasons why information managers should use specialised ontologies across structured and unstructured text

Information managers have a number of possible avenues for engagement with user groups involved in using AI technologies for insight. This requires a shift in perspective for information managers, as the focus changes from supporting Boolean searching of a data collection to enabling text mining and increasing discoverability. By using specialised ontologies across both structured and unstructured content, information managers can: add synonyms to queries automatically, ensuring more comprehensive results; increase access points to unstructured text and content that is not in an easily-searched format; create links among classes of concepts, so researchers can discover new relationships; and decrease query abandonment of dissatisfied users by increasing the number of relevant results to accelerate discovery and research.

The full entry can be read: Here.

4. What do libraries keep when they cancel the Big Deal?

There are so many questions one can ask. Do more generous green open access policies carve out the value of subscriptions and make them vulnerable to cancellation? Are libraries overly focused on certain criteria and ignoring others? What about the role of the librarian in collection development and building a collection for the long-term? What criteria do libraries use in selecting which titles to retain? What happens to the journals that do not get picked up as individual subscriptions? Will certain journals lose out and possibly cease to exist because libraries pick the same journals to retain? The universe of libraries that even have Big Deal contracts that might be broken is relatively limited; some research libraries have never been able to afford the Big Deal. Nonetheless, examining those that unbundle can give some empirical insight into the dynamics at play.

The full entry can be read: Here.

5. A roadmap for a brighter future in academic publishing

Academic publishers, along with all those involved in scholarly communications, are experiencing unprecedented change. This critical moment will have long-lasting effects, with the disruption creating threats and opportunities. This post proposes three directions publishers should consider, if they are to thrive in the new reality. The directions are spaces, boundaries, and business.

The full entry can be read: Here.

6. Organising COVID-19 data will help us respond more swiftly to this and future pandemics

The COVID-19 crisis may become the biggest global challenge attempted to tackle with AI and other data-driven methods. Unlike several 20th century crises that led to technological breakthroughs, advancements now will depend on the quality and quantity of data gathered during the pandemic. As nations around the world test a wide range of policies, the scientific community and policymakers are urged to agree on essential and standardised data to collect and make available, while protecting patient integrity. Organising the COVID-19 data is an investment not only to help navigate out of the pandemic but also future pandemics that may emerge.

The full entry can be read: Here.

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