A Survey of Researchers’ Needs and Priorities for Data Sharing
Problems with effective research data sharing persist and these problems have been quantified by previous research as a lack of time, resources, incentives, and/or skills to share data.
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Problems with effective research data sharing persist and these problems have been quantified by previous research as a lack of time, resources, incentives, and/or skills to share data.
Global travelers, whether tourists or secret agents, are exposed to infectious agents. We hypothesized that agents pre-occupied with espionage and counterterrorism may, at their peril, fail to correctly prioritize travel medicine.
The pandemic has caused disruption to many aspects of scientific research. In this Comment the authors describe the findings from surveys of scientists between April 2020 and January 2021, which suggests there was a decline in new projects started in that time.
This paper presents the application profile for machine-actionable data management plans that allows information from traditional data management plans to be expressed in a machine-actionable way.
Results suggest that boosting vaccinated individuals with currently available mRNA vaccines will increase plasma neutralizing activity but may not produce antibodies with equivalent breadth to those obtained by vaccinating convalescent individuals.
Research and development are central to economic growth, and a key challenge for countries of the global South is that their research performance lags behind that of the global North. Yet, among Southern researchers, a few significantly outperform their peers and can be styled research "positive deviants" (PDs). This paper asks: who are those PDs, what are their characteristics and how are they able to overcome some of the challenges facing researchers in the global South?
One of the most fundamental issues in academia today is understanding the differences between legitimate and questionable publishing. This study's findings show that neither the impact factor of citing journals nor the size of cited journals is a good predictor of the number of citations to the questionable journals.
The question of whether and to what extent research funding enables researchers to be more productive is a crucial one. In their recent work, Mariethoz et al. (Scientometrics, 2021. https://doi.org/10.1007/s11192-020-03.855-1 ) claim that there is no significant relationship between project-based research funding and bibliometric productivity measures and conclude that this is the result of inappropriate allocation mechanisms. In this rejoinder, we argue that such claims are not supported by the data and analyses reported in the article.
Summary of a talk at the 2021 OASPA Conference, with the title OpenCitations - what does the future hold.
FULL TEXT. Requiring undergraduate students to perform what is termed original research for their thesis, an investigation that cannot constitute a replication of an existing study, is a failed opportunity for science and education, argues Daniel Quintana.
Requiring undergraduate students to perform what is termed original research for their thesis, an investigation that cannot constitute a replication of an existing study, is a failed opportunity for science and education.
The detection and removal of poor-quality data in a training set is crucial to achieve high-performing AI models. In healthcare, data can be inherently poor-quality due to uncertainty or subjectivity, but as is often the case, the requirement for data privacy restricts AI practitioners from accessing raw training data, meaning manual visual verification of private patient data is not possible. Here we describe a novel method for automated identification of poor-quality data, called Untrainable Data Cleansing. This method is shown to have numerous benefits including protection of private patient data; improvement in AI generalizability; reduction in time, cost, and data needed for training; all while offering a truer reporting of AI performance itself. Additionally, results show that Untrainable Data Cleansing could be useful as a triage tool to identify difficult clinical cases that may warrant in-depth evaluation or additional testing to support a diagnosis.
Interdisciplinarity is widely considered necessary to solving many contemporary problems, and new funding structures and instruments have been created to encourage interdisciplinary research at universities. This article looks at a small technical university specializing in green technology which implemented a strategy aimed at promoting and developing interdisciplinary collaboration.
A Scoping Review and Case Study
COVID-19 can involve persistence, sequelae, and other medical complications that last weeks to months after initial recovery. This systematic review and meta-analysis aims to identify studies assessing the long-term effects of COVID-19.
The United States trails far behind other high-income countries on measures of health care affordability, administrative efficiency, equity, and outcomes.
This substantive work from John B. Thompson provides a historical overview and analysis of technological and legal challenges to publishing practices in the 21st century.
Programs that systematically monitor and promote the mental health of Ph.D. students are urgently needed.
In this article, we pursue two goals, namely the collection of empirical data about researchers' personal estimations of the importance of the h-index for themselves as well as for their academic disciplines, and on the researchers' concrete knowledge on the h-index and the way of its calculation.
The systems of science must reward honesty about mistakes to speed progress.
The SARS-CoV-2 B.1.617 lineage was identified in October 2020 in India1-5. It has since then become dominant in some indian regions and UK and further spread to many countries6. The lineage includes three main subtypes (B1.617.1, B.1.617.2 and B.1.617.3), harbouring diverse Spike mutations in the N-terminal domain (NTD) and the receptor binding domain (RBD) which may increase their immune evasion potential. B.1.617.2, also termed variant Delta, is believed to spread faster than other variants. Here, we isolated an infectious Delta strain from a traveller returning from India. We examined its sensitivity to monoclonal antibodies (mAbs) and to antibodies present in sera from COVID-19 convalescent individuals or vaccine recipients, in comparison to other viral strains. Variant Delta was resistant to neutralization by some anti-NTD and anti-RBD mAbs including Bamlanivimab, which were impaired in binding to the Spike. Sera from convalescent patients collected up to 12 months post symptoms were 4 fold less potent against variant Delta, relative to variant Alpha (B.1.1.7). Sera from individuals having received one dose of Pfizer or AstraZeneca vaccines barely inhibited variant Delta. Administration of two doses generated a neutralizing response in 95% of individuals, with titers 3 to 5 fold lower against Delta than Alpha. Thus, variant Delta spread is associated with an escape to antibodies targeting non-RBD and RBD Spike epitopes.
Open access book usage data - how close is COUNTER to the other kind?
There are many possible pathways towards a carbon-neutral future — and achieving it by 2050 is possible but requires urgent action.
Modern innovation policies should target in equal measure both economic competitiveness and societal progress. They should be informed by ambitious, overarching principles-based strategies that enable us to formulate specific political goals, or missions. We also need governance structures that allow for the agile, participatory and inclusive implementation of innovation policy measures. Presenting good examples of such strategies and structures, this study examines what these examples have to offer in terms of lessons learned.