Over a 10-year period Carol Tenopir of DataONE and her team conducted a global survey of scientists, managers and government workers involved in broad environmental science activities about their willingness to share data and their opinion of the resources available to do so (Tenopir et al., 2011, 2015, 2018, 2020). Comparing the responses over that time shows a general increase in the willingness to share data (and thus engage in Open Science).
Patrick Dunleavy argues that there have already been three false starts in open science: focusing only on isolated bits of the open agenda in ways that don’t connect and so are not meaningful; loading researchers with off-putting, external bureaucratic requirements; and risking reopening ‘sectarian’ divides between quantitative and qualitative social scientists.
Starting on Jan. 25, 2023, many of the 2,500 institutions and 300,000 researchers that the U.S. National Institutes of Health supports will need to provide a formal, detailed plan for publicly sharing the data generated by their research.
The Association of Research Libraries has named North Carolina State open knowledge librarian to head a pilot program, Accelerating the Social Impact of Research.
Join the American Psychological Association for a free webinar on April 26, 2021. Improvements in the openness, rigor, and reproducibility of psychological […]
A new article in PS: Political Science & Politics analyses psychological science in the aftermath of a “replication crisis” and “credibility revolution” and explicitly examines “what social scientists can learn from this story.”
By looking at the evolving history of the open government data movement, scientists can see both limitations to current approaches and identify ways to move forward from them.
While the dominant model of open access using article processing charges lowers financial barriers for readers, it has erected a new paywall at the other end of the pipeline, blocking access to publication for less-privileged authors.
Drawing on discussions with academics who have oriented their work around public engagement and social impact, Daniel Pearson suggests these academics present an opportunity to rethink the existing structures of reward and recognition in higher education. “We are, as a species, addicted to story,” says English professor Jonathan Gottschall in his book, The Storytelling Animal. “Even when the […] Tom Burns, whose combination of play — and plays – with teaching in higher education added a light, collaborative and engaging model […] A 2024 report by the National Academies explores the latest advances in artificial intelligence (AI) technology and their potential effects on economic productivity, job stability, and income inequality. It also highlights key research opportunities and data needs to help workers and policymakers adapt to the evolving AI landscape. In this post, co-authors Frank T. Piller, Tucker J. Marion, and Mahdi Srour reflect on the inspiration behind their research article, “Generative […] During the final stages of editing the proofs for Artificial Intelligence and Work: Transforming Work, Organizations, and Society in an Age of Insecurity, […]
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Impact
Young Scholars Can’t Take the Field in Game of Academic Metrics
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Canada’s Storytellers Challenge Seeks Compelling Narratives About Student Research
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Tom Burns, 1959-2024: A Pioneer in Learning Development
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Innovation
NAS Report Examines Nexus of AI and Workplace
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When Do You Need to Trust a GenAI’s Input to Your Innovation Process?
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The Authors of ‘Artificial Intelligence and Work’ on Future Risk
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