Confused about mask wearing? Sure, it’s complicated. But not as complicated as some people imply. 

Data makes science possible. Sharing data improves visibility, and makes the research process transparent. This increases trust in the work, and allows for independent reproduction of results. However, a large proportion of data from published research is often only available to the original authors. Despite the obvious benefits of sharing data, and scientists' advocating for the importance of sharing data, most advice on sharing data discusses its broader benefits, rather than the practical considerations of sharing. This paper provides practical, actionable advice on how to actually share data alongside research. The key message is sharing data falls on a continuum, and entering it should come with minimal barriers.

Read the original article in full on F1000Research: Discipline-specific open access publishing practices and barriers to change: an evidence-based review

Policies and public health efforts have not addressed the gendered impacts of disease outbreaks. The response to coronavirus disease 2019 (COVID-19) appears no different.

Unlike the financial crash of 2008, this downturn will likely lead to more job losses for women, according to new research.

This perspective article proposes that the answer shifts the conception of replication from a boring, uncreative, housekeeping activity to an exciting, generative, vital contributor to research progress.

The December, 2019 coronavirus disease outbreak has seen many countries ask people who have potentially come into contact with the infection to isolate themselves at home or in a dedicated quarantine facility. Decisions on how to apply quarantine should be based on the best available evidence. We did a Review of the psychological impact of quarantine using three electronic database

Despite the limitations of funding acknowledgment (FA) data in Web of Science (WoS), studies using FA information have increased rapidly over the last several years. Considering this WoS' recent practice of updating funding data, this paper further investigates the characteristics and distribution of FA data in four WoS journal citation indexes.

Here are a few of the papers our scientists are reading that you might want to check out, too.

The United States, China and Europe are battling to be the first to find a cure, bringing a nationalist element to a worldwide crisis.

The global impact of COVID-19 has been profound, and the public health threat it represents is the most serious seen in a respiratory virus since the 1918 H1N1 influenza pandemic.Here we present the results of epidemiological modelling which has informed policymaking in the UK and other countries in recent weeks.

Estimation of the prevalence and contagiousness of undocumented novel coronavirus (SARS-CoV2) infections is critical for understanding the overall prevalence and pandemic potential of this disease. Here we use observations of reported infection within China to infer critical epidemiological characteristics associated with SARS-CoV2, including the fraction of undocumented infections and their contagiousness.

A qualitative assessment to identify good practices, capacity gaps and investment priorities, whose results could serve as strategic investment targets for the joint efforts of national governments and international organisations that fund programmes for strengthening research capacity in low- and middle-income countries.

In recent years traditional journalism has experienced a collapse, and science journalism has been a major casualty. This study suggests that filling the science news void by scientists as science reporters leads to normal levels of audience engagement.

While the characteristics of scholars who publish in predatory journals are relatively well-understood, nothing is known about the scholars who review for these journals. This article aims to shed light on the reviewers for predatory journals. 

Many of these titles have some editorial oversight - but the quality of reviews is in question.

This article focuses on proven strategies that departments and research institutions can develop to increase equity in faculty hiring and promotion to address the lack of racial and gender diversity among their faculty.

This Viewpoint describes the outbreak response infrastructure developed by the Taiwanese government following the SARS epidemic in 2003 and actions in response to COVID-19, including dedicated hotlines for symptom reporting, mobile phone messaging and case tracking, and the ramping up of facemask...

There is no clear-cut boundary between Free and Open Source Software and Open Scholarship, and the histories, practices, and fundamental principles between the two remain complex. In this study, we critically appraise the intersections and differences between the two movements.

This report shows the results of a survey conducted in spring 2019 among all people who received a PhD in political science from a Swiss university during the last eleven years (2008 to 2018) and among postdocs working in a Swiss university in June 2019. Thus, this survey sheds light on the experiences and career paths of both postdocs and doctors in political science who left academia. Moreover, it compares the results regarding postdocs with a similar study carried out in 2012.

This New Nature Economy report calls out the dependency and impact of business on nature and aims to ensure that biodiversity and nature-related risks are appropriately considered within the broader economic growth agenda.

This article explores the current literature on ‘research impact’ in the social sciences and humanities (SSH).

New study says student evaluations of teaching are still deeply flawed measures of teaching effectiveness, even when we assume they are unbiased and reliable.

Citations are ubiquitous in evaluating research, but how exactly they relate to what they are thought to measure is unclear. This article investigates the relationships between citations, quality, and impact using a survey with an embedded experiment.

Many of the words used by scientists when reviewing manuscripts, job candidates and grant applications - words such as incremental, novelty, mechanism, descriptive and impact - have lost their meaning.

This article proposes measures and policies which can be adopted by journals and publishers to promote good practices in data sharing.

A study suggests that the productivity and impact of gender differences are explained by different publishing career lengths and dropout rates. This inequality in academic publishing has important consequences for institutions and policy makers.

Inappropriate practices of science have been suggested as causes of irreproducibility. This editorial proposes that a lack of raw data or data fabrication is another possible cause of irreproducibility.