Tracker Flags Up Failures to Report Clinical Trials
Computerized search of trial registry lists worst offenders.
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Computerized search of trial registry lists worst offenders.
Calculation suggests papers with women first-authors have citation rates pushed down by 10%.
Tips from Nature Research editors.
New equation also suggests way to predict a researcher's potential to produce top work.
Published chart integrates data from outside scientists.
Upheaval in the former superpower is bad for research and the wider world.
A vibrant scientific culture encourages many interpretations of evidence.
Many biologists are founding their own firms as venture capitalists show increased interest in science.
The creators of the Open Syllabus Project hope that sharing data can both improve and reward teaching.
Cull of papers follows similar discoveries in 2015.
An MP’s dismissive tweet that scientists have ‘no experience of the real world’ highlights a chasm in mutual understanding.
Scientists starting labs say that they are under historically high pressure to publish, secure funding and earn permanent positions — leaving precious little time for actual research.
Demand for steady output stymies discovery. To pursue the most important research, scientists must be allowed to shift their focus.
The research enterprise sometimes keeps scientists from pursuing the best ideas: intense competition forces researchers to prioritize publishing papers over tackling important questions. A special issue explores the problems facing early and mid-career scientists, and how to solve them.
Young researchers are having to fight harder than past generations for a smaller share of the academic pie.
Uncertain government funding drives effort to beef up private support for research
A neuroscience initiative is boosting the number of female invited speakers at meetings. Other disciplines should do the same.
Chan Zuckerberg Initiative aims to have major impact by 2100.
To stop evidence-based policy losing its clout, researchers need to engage with policymakers and understand their needs, says Bill Colglazier.
Artificial intelligence is everywhere. But before scientists trust it, they first need to understand how machines learn.
Worries include how to coordinate research programmes and resources from different countries.
Science funders and researchers need to recognize the time, resources and effort required to curate open data.
Undergraduates from small, elite institutions have the best chance of winning a Nobel prize.
Nature Physics now requires its published papers to include information on whether and how their underlying data are accessible to others.