Funders and Journals, Not Students, Should Lead on Standards for Research Rigour
The efforts of young researchers to fight the perverse incentives that dominate science right now are all the more impressive because these scientists are at the most vulnerable point of their careers.
"Excellence R Us": University Research and the Fetishisation of Excellence
The rhetoric of "excellence" is pervasive across the academy. It is used to refer to research outputs as well as researchers, theory and education, individuals and organizations, from art history to zoology. But does "excellence" actually mean anything?
Evaluating FAIR Maturity Through a Scalable, Automated, Community-governed Framework
Transparent evaluations of FAIRness are increasingly required by a wide range of stakeholders, from scientists to publishers, funding agencies and policy makers. We propose a scalable, automatable framework to evaluate digital resources that encompasses measurable indicators, open source tools, and participation guidelines, which come together to accommodate domain relevant community-defined FAIR assessments. The components of the framework are: (1) Maturity Indicators - community-authored specifications that delimit a specific automatically-measurable FAIR behavior; (2) Compliance Tests - small Web apps that test digital resources against individual Maturity Indicators; and (3) the Evaluator, a Web application that registers, assembles, and applies community-relevant sets of Compliance Tests against a digital resource, and provides a detailed report about what a machine "sees" when it visits that resource. We discuss the technical and social considerations of FAIR assessments, and how this translates to our community-driven infrastructure. We then illustrate how the output of the Evaluator tool can serve as a roadmap to assist data stewards to incrementally and realistically improve the FAIRness of their resources.
Seven Steps to Make Travel to Scientific Conferences More Sustainable
Researchers should learn to travel better to mitigate their climate impacts. Institutions can help by facilitating and rewarding sustainable travel behaviour, rather than fuelling the pressure to attend conferences, say Olivier Hamant, Timothy Saunders and Virgile Viasnoff.
As AI technology develops rapidly, it is widely recognized that ethical guidelines are required for safe and fair implementation in society. But is it possible to agree on what is 'ethical AI'? A detailed analysis of 84 AI ethics reports around the world, from national and international organizations, companies and institutes, explores this question, finding a convergence around core principles but substantial divergence on practical implementation.