When researchers pay to publish: Results from a survey on APCs in four countries

Authors : Osvaldo Gallardo, Matías Milia, André Luiz Appel, Grip-APC Team, François van Schalkwyk

This paper provides an empirical overview of the impact and practices of paying Article Processing Charges (APCs) by four nationally categorized groups of researchers in Argentina, Brazil, Mexico, and South Africa.

The data was collected from 13,577 researchers through an online questionnaire. The analysis compares the practice of publishing in journals that charge APCs across different dimensions, including country, discipline, gender, and age of the researchers.

The paper also focuses on the maximum amount APC paid and the methods and strategies researchers use to cover APC payments, such as waivers, research project funds, payment by coauthors, and the option to publish in closed access, where possible. Different tendencies were identified among the different disciplines and the national systems examined.

Findings show that Argentine researchers apply for waivers most frequently and often use personal funds or international coauthors for APCs, with younger researchers less involved in APC payments. In contrast, Brazil, South Africa, and Mexico have more older researchers, yet younger researchers still publish more in APC journals. South African researchers lead in APC publications, likely due to better funding access and read and publish agreements.

This study lays the groundwork for further analysis of gender asymmetries, funding access, and views on the commercial Open Access model of scientific dissemination.

Arxiv : https://arxiv.org/abs/2410.12144

COVID‑19 and the scientific publishing system: growth, open access and scientific fields

Authors : Gabriela F. Nane, Nicolas Robinson‑Garcia, François van Schalkwyk, Daniel Torres‑Salinas

We model the growth of scientific literature related to COVID-19 and forecast the expected growth from 1 June 2021. Considering the significant scientific and financial efforts made by the research community to find solutions to end the COVID-19 pandemic, an unprecedented volume of scientific outputs is being produced.

This questions the capacity of scientists, politicians and citizens to maintain infrastructure, digest content and take scientifically informed decisions. A crucial aspect is to make predictions to prepare for such a large corpus of scientific literature.

Here we base our predictions on the Autoregressive Integrated Moving Average (ARIMA) and exponential smoothing models using the Dimensions database. This source has the particularity of including in the metadata information on the date in which papers were indexed.

We present global predictions, plus predictions in three specific settings: by type of access (Open Access), by domain-specific repository (SSRN and MedRxiv) and by several research fields. We conclude by discussing our findings.

URL : COVID‑19 and the scientific publishing system: growth, open access and scientific fields

DOI : https://doi.org/10.1007/s11192-022-04536-x