The Henry Madden Library is pleased to announce that limited funding will be available for the Open Access Publishing Fund for 2020–21. 

Open Access is a publishing model that makes scholarly information freely available online without paywalls or subscription fees. This means that researchers can access the scholarly literature without depending on their institutions to subscribe, and the public has free access to the results of research that in many cases they, as taxpayers, have funded. A recent study by Our Research found that a growing proportion of journal articles are available as Open Access, and that Open Access articles are viewed more often than those that are paywalled.

Removing barriers for readers, however, sometimes creates barriers for authors. In place of subscriptions, many Open Access journals charge publication fees to authors, making Open Access unavailable to researchers with limited funding. The library’s Open Access Publishing Fund aims to remove that barrier by providing funding for Fresno State authors to publish their work in Open Access journals.

Eligibility and Limits

All Fresno State faculty and graduate students may apply for up to $2000 to support publication of Open Access articles that have been recently accepted or that have been published since July 1, 2020, in peer-reviewed, Open Access journals.

Application Submission and Evaluation Process

Funds will be distributed on a first-come, first-served basis until exhausted. For complete details and to apply, visit Madden Library’s Open Access Fund Webpage.


For any questions on the fund or about Open Access, contact:
David Drexler
Scholarly Communication Librarian

Previous Awardees

In 2019–20, the Madden Library’s Open Access Fund supported the publication of five Open Access publications by Fresno State researchers.

Qiao-Hong Chen, Chemistry

Rajaram, P., Rivera, A., Muthima, K., Olveda, N., Muchalski, H., & Chen, Q.-H. (2020). Second-generation androgen receptor antagonists as hormonal therapeutics for three forms of prostate cancer. Molecules, 25(10), 2448.

Mihai Raul Gherase, Physics

Gherase, M. R., & Fleming, D. E. B. (2019). Probing trace elements in human tissues with synchrotron radiation. Crystals, 10(1), 12.

Susan Mirlohi, Public Health

Mirlohi, S. (2020). In vitro evaluation of iron-induced salivary lipid oxidation associated with exposure to iron nanoparticles: application possibilities and limitations for food and exposure sciences. International Journal of Environmental Research and Public Health, 17(10), 3622.

Matin Pirouz, Computer Science

Doma, V., & Pirouz, M. (2020). A comparative analysis of machine learning methods for emotion recognition using EEG and peripheral physiological signals. Journal of Big Data, 7(1), 18.

Shahab Tayeb, Electrical and Computer Engineering

Tayeb, S., Gill, S., Trueblood, F., Wong, R., & Pirouz, M. (2020). A network-centric analysis for the internet of vehicles and simulation tools. IEEE Access, 8, 68342–68364.