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19 May 2022 | Story Nonkululeko Nxumalo
Open Access 3


Should the UFS continue to subscribe to academic journals that are behind a paywall?

On 12 May 2022, the University of the Free State (UFS) held an online seminar on Open Science, posing this question.

The seminar was facilitated by Prof Corli Witthuhn, Vice-Rector: Research and Internationalisation, who was joined by the following experts: Colleen Campbell from the Max Planck Digital Library (MPDL) in Munich, Germany, where she coordinates the Open Access 2020 Initiative; Ellen Tise, Senior Director of Library and Information Services at Stellenbosch University (SU); Glen Truran, Director of the South African National Library and Information Consortium (SANLiC); and Charlie Molepo, Deputy Director at the UFS Library Service. The discussion centred around the issues of accessing and publishing academic content behind a paywall, and what open access initiatives are doing to transition scholarly work to an open access (OA) paradigm.

“Publishing academic content behind a paywall not only limits access to scholarly work, but also prevents research output from being visible and making maximum impact,” the university stated.

Paywalls vs Open Access

A paywall is a figurative wall used to limit access to certain prestigious academic content. Overcoming this wall usually means a one-time purchase option where the reader buys the content from the publisher, or it could be subscription-based where you pay a subscription fee for a fixed period. OA, on the other hand, seeks to make any scholarly work freely available to anyone interested in accessing it, including those who cannot afford the subscription fees.

"Currently, authors are required to give up copyright of their research articles to publishers. We want to move to a fully open paradigm where authors can redeem and openly license their articles so that they are free to share, use, and reuse their work so that science can move forward faster. By making it open, we gain a wider possible readership that will help improve the quality of science,” Campbell said.

Furthermore, not only are publishers making a profit from subscription fees, but they also benefit significantly from hefty publishing and author fees.

“Researchers are paying to publish their research output, and libraries are paying to access it in what is known as double-dipping by publishers, leading to what we term ‘serial crisis’. Research institutions pay twice and still do not see their research widely available to be read.”

Transformative Agreements 

The panel explained the use of transformative agreements as a strategy to achieve full OA publishing. This strategy includes OA initiatives that organise investments around open research communication, demanding price transparency from publishers, as well as reorganising workflow and building up the capacity to make OA a default.

With Truran presenting statistics on OA in South Africa, he highlighted that “only 46% of South African journals are available freely, the rest are still out of reach of those who cannot afford to pay the costs associated with paywalls”. Tise touched on some negotiation principles for a transformational transition to OA. “Inclusivity and social justice must be core. Publishers must have an equity, diversity, and inclusion plan that addresses the challenges of researchers in the Global South.”

Should the UFS continue to subscribe to academic journals that are behind a paywall? 
Truran answered this question by saying: “If we’re going to cancel subscriptions, then we should do it in unity and at the appropriate time. At the same time giving transformative agreements a go."

In his closing remarks, Molepo clarified the university’s stance on OA: “The UFS has taken a decision to publish all our journals in-house. We have flipped from subscription to full OA, and in the process, have seen a huge improvement in terms of citation. The impact of those journals has improved drastically from 2015 to 2021. We are content with that. The route to OA is the route this university should be taking,” he said.

News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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