Openness and trust in data-intensive science: the case of biocuration

Medicine, Health Care and Philosophy 23 (3):497-504 (2020)
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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, take into consideration the networks of professionals already enabling data-intensive science by providing high-quality data. In the life sciences, biological data- and knowledge bases managed by expert biocurators have become crucial for data-intensive research. In this paper, I will use the case of biocurators to argue that openness and transparency will not diminish the need for trust in data-intensive science. On the contrary, data-intensive science requires a reconfiguration of existing trust mechanisms in order to include those who take care of and manage scientific data after its production.



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References found in this work

Data-Centric Biology: A Philosophical Study.Sabina Leonelli - 2016 - London: University of Chicago Press.
Autonomy and Trust in Bioethics.Onora O'Neill - 2002 - New York: Cambridge University Press.
The role of trust in knowledge.John Hardwig - 1991 - Journal of Philosophy 88 (12):693-708.
Re-thinking organisms: The impact of databases on model organism biology.Sabina Leonelli & Rachel A. Ankeny - 2012 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 43 (1):29-36.

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