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Data literacy empowers college students, equipping them with essential skills necessary for their personal lives and careers in today’s data-driven world. This study aims to explore how community college students evaluate their data literacy and further examine demographic and educational/career advancement disparities in their self-assessed data literacy levels.

An online survey presenting a data literacy self-assessment scale was distributed and completed by 570 students at four community colleges. Statistical tests were performed between the data literacy factor scores and students’ demographic and educational/career advancement variables.

Male students rated their data literacy skills higher than females. The 18–19 age group has relatively lower confidence in their data literacy scores than other age groups. High school graduates do not feel proficient in data literacy to the level required for college and the workplace. Full-time employed students demonstrate more confidence in their data literacy than part-time and nonemployed students.

Given the lack of research on community college students’ data literacy, the findings of this study can be valuable in designing and implementing data literacy training programs for different groups of community college students.

During the COVID-19 pandemic, in order to prevent the spread of disease, the National Library of Indonesia Cataloging Department adopted remote working. There is a need to examine the productivity of remote cataloging as this form of cataloging becomes more prevalent.

The study was conducted using a mixed methods approach. The authors analyzed data to assess cataloging librarians' productivity based on system logs. Then, the authors interviewed librarians to understand librarians' perspectives concerning productivity and remote cataloging, and also to seek insights into factors that may affect productivity while working remotely.

The analysis found higher productivity in terms of quantity of cataloging. Librarians' productivity during remote cataloging is not statistically related to individual factors of age, years of experience, or gender. The in-depth interviews found that other factors may hinder the quality and quantity of the remote cataloging, including the working environment, infrastructure, and lack of policies on remote working.

The findings were based on a study conducted in the National Library of Indonesia, which may not apply to libraries with different infrastructures or existing policies in remote cataloging. However, the authors identified numerous factors that could be related to remote cataloging productivity. More work needs to be done to identify these factors that impact productivity by conducting further surveys.

The research provides evidence showing the productivity of cataloging can be higher in remote working mode. The study provides insights for library managers to decide whether to implement remote cataloging and what additional perspectives could be considered for the better implementation of remote cataloging.

The gap in the literature about remote cataloging and productivity has been bridged.

Although existing literature abounds with actual diversity research, there is scant work on perceived diversity. This research aims to investigate the impact of employees' perception of workplace diversity on job satisfaction and turnover intentions. Further, the research analyses the gender-moderating effect between the hypothesized connection.

Current research work uses a structural equation modeling (SEM) approach to analyze the hypothesized connection with 222 full-time employees working in the Indian service sector.

Study results showed that employees' perception of workplace diversity has a significant negative impact on job satisfaction, while having a significant positive effect on employees' turnover intentions. Moreover, employees' perception of workplace diversity does not vary across gender.

Though research work on perceived diversity is scant and growing at a slow pace, the current study adds to the diversity studies by assessing diversity through employees' perceptions instead of gleaning the actual diversity index.