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DATA SCIENCE Report Summary

Project ID: 335925
Funded under: FP7-IDEAS-ERC
Country: United Kingdom

Mid-Term Report Summary - DATA SCIENCE (The Epistemology of Data-Intensive Science)

DATA_SCIENCE examines the ways in which data are produced, processed, disseminated and re-used across a variety of research situations, and particularly by comparing data-intensive research initiatives and related data infrastructures within biology and biomedicine. Tracking data as they move across different contexts, and are manipulated by a variety of different experts, provides crucial insights on the complex conditions under which data can be made “open”, as required by current EU Open Science policies. In particular, we analyse the role of security and ethical concerns in the strategies used to integrate biomedical data; the ways in which labels, models and visualisation tools used by databases affect the interpretation of research data and their use as evidence; the obstacles encountered by data as they travel, and the significance of situations in which data are missing, absent or inaccessible for future research; and the ways in which research communities are organised in order to take advantage of large datasets and related digital technologies. The project is framing a new epistemological perspective on scientific research, which places data at its center and helps to explain the impact and implications of data science and “big data” for contemporary research efforts across different disciplines.

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United Kingdom
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