Valuing diversity leads to scientific excellence, the progress of science and, most importantly, it is simply the right thing to do. We must value diversity not only in words, but also in actions.

In the last decade Open Science principles, such as Open Access, study preregistration, use of preprints, making available data and code, and open peer review, have been successfully advocated for and are being slowly adopted in many different research communities. In response to the COVID-19 pandemic many publishers and researchers have sped up their adoption of some of these Open Science practices, sometimes embracing them fully and sometimes partially or in a sub-optimal manner. In this article, we express concerns about the violation of some of the Open Science principles and its potential impact on the quality of research output. We provide evidence of the misuses of these principles at different stages of the scientific process. We call for a wider adoption of Open Science practices in the hope that this work will encourage a broader endorsement of Open Science principles and serve as a reminder that science should always be a rigorous process, reliable and transparent, especially in the context of a pandemic where research findings are being translated into practice even more rapidly. We provide all data and scripts at . ### Competing Interest Statement The authors have declared no competing interest.

The purpose of this paper is to study the patron's usage behavior in an academic library. This study investigates on pattern of patron's books borrowing in Khunying Long Athakravisunthorn Learning Resources Center, Prince of Songkla University that influence patron's academic achievement during on academic year 2015-2018. The study collected and analyzed data from the libraries, registrar, and human resources. The students' performance data was obtained from PSU Student Information System and the rest from ALIST library information system. WEKA was used as the data mining tool employing data mining techniques of association rules and clustering. All data sets were mined and analyzed to identify characteristics of the patron's book borrowing, to discover the association rules of patron's interest, and to analyze the relationships between academic library use and undergraduate students' achievement. The results reveal patterns of patron's book loan behavior, patterns of book usage, patterns of interest rules with respect to patron's interest in book borrowing, and patterns of relationships between patron's borrowing and their grade. The ability to clearly identify and describe library patron's behavior pattern can help library in managing resources and services more effectively. This study provides a sample model as guideline or campus partnerships and for future collaborations that will take advantage of the academic library information and data mining to improve library management and library services.

DORA has evolved into an active initiative that gives practical advice to institutions on new ways to assess and evaluate research. This article outlines a framework for driving institutional change.

Leaders of the scientific community have declared that American science is in a crisis due to inadequate federal funding. They misconstrue the problem; its roots lie instead in the institutional interactions between federal funding agencies and higher education.