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This study aims to build a better understanding of researcher needs regarding support for data that you create, store, and/or manage using an electronic lab notebook (ELN), also referred to as electronic research notebook (ERN). The study also articulates the need for risk assessment for ELN products used by researchers for both open data and sensitive data that require standards.

The author used a participatory action research mixed-methods approach. A working group was formed from an ELN initial meeting. The working group team investigated several institutional ERN solutions by setting up trials, speaking with representatives from other research universities with ERN solutions and conducting internal and external research. This culminated in a broader-scale survey exploration.

Findings reveal there is no single institutional ELN license solution to satisfy all scientific disciplines. There is a need to develop foundational tools needed by all, provide additional tools and uses cases with best practices that can be tailored to various labs and research processes and develop a how-to guide on how to assemble the parts to create a useful ELN solution.

The research implications include providing support for researchers selecting an ERN solution through a combination of online guides, short tutorials and training. There is a need to develop foundational tools, uses cases with best practices that can be tailored to various labs and research processes and how-to guide on how to assemble the parts to create a useful hybrid-ELN solution.

Practical implications include aligning available ERN solutions with other institution provided technologies across the research life cycle to provide researchers a suite of tools to conduct and manage their research. Further investigating educational license discounts for courses using eLabJournal, RSpace, Protocols.io, Open Science Framework, LabArchives or other ERNs currently funded by student course fees via grant funded projects are key implications.

Social implications include the research computing environments of researchers that use ELN solutions approved through institutional risk assessment for open data are in compliance with university regulatory frameworks for use of the software in research.

The originality of this study includes risk assessments of ELNs solutions to better guide researchers in the selection process. To the best of the author’s knowledge, this survey was the first exploration of ELN on campus resulting in a final report to senior stakeholders. This study also highlights a developing grant proposal to further develop support across labs and campus.

This study aims to examine the effects of peer ethical behavior and individual differences in valuation of fairness vs loyalty on whistleblowing intentions in academic settings. This study also tests the underlying mechanism responsible for the effects of peer behavior on reporting intentions, namely, fear of reprisal.

A survey was conducted with 947 undergraduate students. The model was tested using ordinary least squares regression models followed by bootstrapped mediation analyses.

Results showed that the effects of peer ethical behavior on whistleblowing intentions are mediated by fear of retaliation. Moreover, the findings indicated that, for low-severity transgressions, there is an interactive effect between fear of retaliation and endorsement of fairness over loyalty on whistleblowing intentions.

When the misconduct is seen as minor, a potential whistleblower may understand that the expected costs outweigh the possible benefits of blowing the whistle. In such situations, higher fear of retaliation would undermine the effects of individual’s endorsement of fairness over loyalty on reporting intentions.

As the social environment significantly affects someone’s whistleblowing intentions, there should be visible efforts to improve and to foster an ethical infrastructure in organizations.

As fear of retaliation by peers is one of the most important determinants affecting the decision to report misconduct in general, there must be serious efforts from leaders to mitigate any threat of retaliation to those who come forward.

This work contributes to the discussion about individual and situational antecedents of whistleblowing. More importantly, it sheds light on one potential boundary condition for the influence of the fairness–loyalty tradeoff on whistleblowing decisions: severity of the transgression. The findings provide initial evidence that, for low-severity transgressions, fear of retaliation weakens the positive effects of one’s moral compass in terms of preference for fairness over loyalty on whistleblowing intentions.

This article examines the misinformation on the COVID-19 pandemic in social media and electronic media, as well as whether the existing legal administration and laws in Bangladesh, Singapore, and Vietnam are adequate to combat the infodemic. People who believe misinformation and fake news about Coronavirus, prevention, and treatment may put their lives in danger. False information about Coronavirus has spread throughout the world, not just in South and Southeast Asian countries, causing widespread concern in the global healthcare community. We employed a qualitative approach as well as the case study analysis method. Case studies were conducted using news reports and news channels. We examined the legal provisions of the People's Republic of Bangladesh's Constitution, as well as factual analyses of Singapore and Vietnam. We discovered the impact of misinformation dissemination through social and electronic media, which is prevalent not only among rural Bangladeshis but also in almost all classes in Singapore and Vietnam, and how such influence can be detrimental to the interests of Bangladesh, Vietnam, and Singapore.