Publications by authors named "Willem Halffman"

Wildlife field guide books present salient features of species, from colour and form to behaviour, and give their readers a vocabulary to express what these features look like. Such structures for observation, or , allow users to identify wildlife species through what Law and Lynch have called 'the difference that makes the difference'. In this article, we show how these grids, and the characteristics that distinguish species, change over time in response to wider concerns in the community that use and make the field guides.

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Biomedical researchers routinely use a variety of biological models and resources, such as cultured cell lines, antibodies and laboratory animals. Unfortunately, these resources are not flawless: cell lines can be misidentified; for antibodies, problems with specificity, lot-to-lot consistency and sensitivity are common; and the reliability of animal models is questioned due to poor translation of animal studies to human clinical trials. In some cases, these problems can render the results of a study meaningless.

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Irreproducibility is a well-recognized problem in biomedical animal experimentation. Phenotypic variation in animal models is one of the many challenging causes of irreproducibility. How to deal with phenotypic variation in experimental designs is a topic of debate.

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Background: Triggered by a series of controversies and diversifying expectations of editorial practices, several innovative peer review procedures and supporting technologies have been proposed. However, adoption of these new initiatives seems slow. This raises questions about the wider conditions for peer review change and about the considerations that inform decisions to innovate.

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Background: Despite the widespread use of antibodies as a research tool, problems with specificity, lot-to-lot consistency and sensitivity commonly occur and may be important contributing factors to the 'replication crisis' in biomedical research. This makes the validation of antibodies and accurate reporting of this validation in the scientific literature extremely important. Therefore, some journals now require authors to comply with antibody reporting guidelines.

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While attention to research integrity has been growing over the past decades, the processes of signalling and denouncing cases of research misconduct remain largely unstudied. In this article, we develop a theoretically and empirically informed understanding of the causes and consequences of reporting research misconduct in terms of power relations. We study the reporting process based on a multinational survey at eight European universities (N = 1126).

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[This corrects the article DOI: 10.1186/s41073-018-0051-5.].

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The quality and integrity of the scientific literature have recently become the subject of heated debate. Due to an apparent increase in cases of scientific fraud and irreproducible research, some have claimed science to be in a state of crisis. A key concern in this debate has been the extent to which science is capable of self-regulation.

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While problems with cell line misidentification have been known for decades, an unknown number of published papers remains in circulation reporting on the wrong cells without warning or correction. Here we attempt to make a conservative estimate of this 'contaminated' literature. We found 32,755 articles reporting on research with misidentified cells, in turn cited by an estimated half a million other papers.

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Universities are occupied by management, a regime obsessed with 'accountability' through measurement, increased competition, efficiency, 'excellence', and misconceived economic salvation. Given the occupation's absurd side-effects, we ask ourselves how management has succeeded in taking over our precious universities. An alternative vision for the academic future consists of a public university, more akin to a socially engaged knowledge commons than to a corporation.

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One of the unintended consequences of the New Public Management (NPM) in universities is often feared to be a division between elite institutions focused on research and large institutions with teaching missions. However, institutional isomorphisms provide counter-incentives. For example, university rankings focus on certain output parameters such as publications, but not on others (e.

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