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  1. Allonymous science: the politics of placing and shifting credit in public-private nutrition research.David M. R. Townend, David M. Shaw, Peter Lutz & Bart Penders - 2020 - Life Sciences, Society and Policy 16 (1):1-16.
    Ideally, guidelines reflect an accepted position with respect to matters of concern, ranging from clinical practices to researcher behaviour. Upon close reading, authorship guidelines reserve authorship attribution to individuals fully or almost fully embedded in particular studies, including design or execution as well as significant involvement in the writing process. These requirements prescribe an organisation of scientific work in which this embedding is specifically enabled. Drawing from interviews with nutrition scientists at universities and in the food industry, we demonstrate that (...)
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  • Dark Data as the New Challenge for Big Data Science and the Introduction of the Scientific Data Officer.Björn Schembera & Juan M. Durán - 2020 - Philosophy and Technology 33 (1):93-115.
    Many studies in big data focus on the uses of data available to researchers, leaving without treatment data that is on the servers but of which researchers are unaware. We call this dark data, and in this article, we present and discuss it in the context of high-performance computing facilities. To this end, we provide statistics of a major HPC facility in Europe, the High-Performance Computing Center Stuttgart. We also propose a new position tailor-made for coping with dark data and (...)
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  • Dark Data as the New Challenge for Big Data Science and the Introduction of the Scientific Data Officer.Björn Schembera & Juan M. Durán - 2019 - Philosophy and Technology:1-23.
    Many studies in big data focus on the uses of data available to researchers, leaving without treatment data that is on the servers but of which researchers are unaware. We call this dark data, and in this article, we present and discuss it in the context of high-performance computing facilities. To this end, we provide statistics of a major HPC facility in Europe, the High-Performance Computing Center Stuttgart. We also propose a new position tailor-made for coping with dark data and (...)
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  • Dickens Reconsidered or Data Under Siege?1.Susan Carol Losh - 2013 - Bulletin of Science, Technology and Society 33 (5-6):135-137.
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  • What difference does quantity make? On the epistemology of Big Data in biology.Sabina Leonelli - 2014 - Big Data and Society 1 (1):2053951714534395.
    Is Big Data science a whole new way of doing research? And what difference does data quantity make to knowledge production strategies and their outputs? I argue that the novelty of Big Data science does not lie in the sheer quantity of data involved, but rather in the prominence and status acquired by data as commodity and recognised output, both within and outside of the scientific community and the methods, infrastructures, technologies, skills and knowledge developed to handle data. These developments (...)
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  • The Bermuda Triangle: The Pragmatics, Policies, and Principles for Data Sharing in the History of the Human Genome Project.Kathryn Maxson Jones, Rachel A. Ankeny & Robert Cook-Deegan - 2018 - Journal of the History of Biology 51 (4):693-805.
    The Bermuda Principles for DNA sequence data sharing are an enduring legacy of the Human Genome Project. They were adopted by the HGP at a strategy meeting in Bermuda in February of 1996 and implemented in formal policies by early 1998, mandating daily release of HGP-funded DNA sequences into the public domain. The idea of daily sharing, we argue, emanated directly from strategies for large, goal-directed molecular biology projects first tested within the “community” of C. elegans researchers, and were introduced (...)
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  • Openness and trust in data-intensive science: the case of biocuration.Ane Møller Gabrielsen - 2020 - Medicine, Health Care and Philosophy 23 (3):497-504.
    Data-intensive science comes with increased risks concerning quality and reliability of data, and while trust in science has traditionally been framed as a matter of scientists being expected to adhere to certain technical and moral norms for behaviour, emerging discourses of open science present openness and transparency as substitutes for established trust mechanisms. By ensuring access to all available information, quality becomes a matter of informed judgement by the users, and trust no longer seems necessary. This strategy does not, however, (...)
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  • How Do Scientists Define Openness? Exploring the Relationship Between Open Science Policies and Research Practice.John Dupré, David Castle, Dagmara Weckowska, Sabina Leonelli & Nadine Levin - 2016 - Bulletin of Science, Technology and Society 36 (2):128-141.
    This article documents how biomedical researchers in the United Kingdom understand and enact the idea of “openness.” This is of particular interest to researchers and science policy worldwide in view of the recent adoption of pioneering policies on Open Science and Open Access by the U.K. government—policies whose impact on and implications for research practice are in need of urgent evaluation, so as to decide on their eventual implementation elsewhere. This study is based on 22 in-depth interviews with U.K. researchers (...)
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  • A pragmatic approach to scientific change: transfer, alignment, influence.Stefano Canali - 2022 - European Journal for Philosophy of Science 12 (3):1-25.
    I propose an approach that expands philosophical views of scientific change, on the basis of an analysis of contemporary biomedical research and recent developments in the philosophy of scientific change. Focusing on the establishment of the exposome in epidemiology as a case study and the role of data as a context for contrasting views on change, I discuss change at conceptual, methodological, material, and social levels of biomedical epistemology. Available models of change provide key resources to discuss this type of (...)
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  • Between Scylla and Charybdis: reconciling competing data management demands in the life sciences.Louise M. Bezuidenhout & Michael Morrison - 2016 - BMC Medical Ethics 17 (1):29.
    BackgroundThe widespread sharing of biological and biomedical data is recognised as a key element in facilitating translation of scientific discoveries into novel clinical applications and services. At the same time, twenty-first century states are increasingly concerned that this data could also be used for purposes of bioterrorism. There is thus a tension between the desire to promote the sharing of data, as encapsulated by the Open Data movement, and the desire to prevent this data from ‘falling into the wrong hands’ (...)
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