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Non-fiction --- Italian literature --- anno 1900-1999 --- Criticism --- History --- 850 "19" --- -Appraisal of books --- Books --- Evaluation of literature --- Literary criticism --- Literature --- Rhetoric --- Aesthetics --- Style, Literary --- Italiaanse literatuur--20e eeuw. Periode 1900-1999 --- -Appraisal --- Technique --- Evaluation --- -Italiaanse literatuur--20e eeuw. Periode 1900-1999 --- -850 "19" --- 850 "19" Italiaanse literatuur--20e eeuw. Periode 1900-1999 --- -Criticism --- -Technique --- Criticism - Italy - History - 20th century
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In recent decades, there has been a major shift in the way researchers process and understand scientific data. Digital access to data has revolutionized ways of doing science in the biological and biomedical fields, leading to a data-intensive approach to research that uses innovative methods to produce, store, distribute, and interpret huge amounts of data. In Data-Centric Biology, Sabina Leonelli probes the implications of these advancements and confronts the questions they pose. Are we witnessing the rise of an entirely new scientific epistemology? If so, how does that alter the way we study and understand life—including ourselves? Leonelli is the first scholar to use a study of contemporary data-intensive science to provide a philosophical analysis of the epistemology of data. In analyzing the rise, internal dynamics, and potential impact of data-centric biology, she draws on scholarship across diverse fields of science and the humanities—as well as her own original empirical material—to pinpoint the conditions under which digitally available data can further our understanding of life. Bridging the divide between historians, sociologists, and philosophers of science, Data-Centric Biology offers a nuanced account of an issue that is of fundamental importance to our understanding of contemporary scientific practices.
Research --- Biology --- Knowledge, Theory of --- Philosophy --- Sociological aspects --- Knowledge, Theory of. --- Data processing --- Philosophy. --- Sociological aspects. --- Research - Philosophy --- Biology - Research - Philosophy --- Biology - Research - Sociological aspects --- Biomathematics. Biometry. Biostatistics
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The Open Science [OS] movement aims to foster the wide dissemination, scrutiny and re-use of research components for the good of science and society. This Element examines the role played by OS principles and practices within contemporary research and how this relates to the epistemology of science. After reviewing some of the concerns that have prompted calls for more openness, it highlights how the interpretation of openness as the sharing of resources, so often encountered in OS initiatives and policies, may have the unwanted effect of constraining epistemic diversity and worsening epistemic injustice, resulting in unreliable and unethical scientific knowledge. By contrast, this Element proposes to frame openness as the effort to establish judicious connections among systems of practice, predicated on a process-oriented view of research as a tool for effective and responsible agency. This title is also available as Open Access on Cambridge Core.
Open scholarship. --- Science --- Philosophy. --- Open scolarship.
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Iron age --- Tombs --- Bronze age --- Age du fer --- Tombes --- Age du bronze --- Terni (Italy : Province) --- Terni (Italie : Province) --- Antiquities --- Catalogs. --- Antiquités --- Catalogues
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In recent decades, there has been a major shift in the way researchers process and understand scientific data. Digital access to data has revolutionized ways of doing science in the biological and biomedical fields, leading to a data-intensive approach to research that uses innovative methods to produce, store, distribute, and interpret huge amounts of data. In Data-Centric Biology, Sabina Leonelli probes the implications of these advancements and confronts the questions they pose. Are we witnessing the rise of an entirely new scientific epistemology? If so, how does that alter the way we study and understand life-including ourselves? Leonelli is the first scholar to use a study of contemporary data-intensive science to provide a philosophical analysis of the epistemology of data. In analyzing the rise, internal dynamics, and potential impact of data-centric biology, she draws on scholarship across diverse fields of science and the humanities-as well as her own original empirical material-to pinpoint the conditions under which digitally available data can further our understanding of life. Bridging the divide between historians, sociologists, and philosophers of science, Data-Centric Biology offers a nuanced account of an issue that is of fundamental importance to our understanding of contemporary scientific practices.
Biology --- Knowledge, Theory of. --- Research --- Data processing --- Philosophy. --- Sociological aspects. --- Open Data. --- Open Science. --- big data. --- data science. --- data. --- database. --- evidence. --- scientific epistemology. --- scientific methods.
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