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University of Cambridge > Talks.cam > Departmental Seminars in History and Philosophy of Science > On the movements and value of research data
On the movements and value of research dataAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Marta Halina. This paper reports on an ongoing effort to study the movement of scientific data from their production site to many other sites of use within or beyond the same discipline, from both an empirical and a philosophical standpoint. Empirically, the study is grounded on the reconstruction of specific data journeys within four research areas: plant biology, model organism biology, biomedicine and oceanography. Philosophically, the study aims to analyse the conditions under which data travel across what I call, following John Dewey, ‘research situations’, and what implications this has for the epistemology of science. I focus in particular on online databases set up to facilitate data dissemination and their multiple re-interpretations as evidence for a variety of claims across different settings; and on the wealth and diversity of expertise, resources and conceptual scaffolding used by database curators and users to expand the evidential value of data thus propagated. Through the reconstruction and careful analysis of data journeys, a great deal can be learnt about the multiple roles and valences of data, ranging from their essential function as evidence to their importance as currency in trading, tokens of identity and means to foster the legitimacy, accountability and value of research within a variety of contexts. These insights inform a philosophical analysis of knowledge production that is attentive to the processual, dynamic nature of research, as well as its embedding in social, political and economic settings that have a strong bearing on what comes to be viewed as scientific data, by whom, and why. This talk is part of the Departmental Seminars in History and Philosophy of Science series. This talk is included in these lists:
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