The conclusion summarises the arguments within the book. I defend the idea that data-centrism brings new salience to aspects of scientific practice which have always been vital to successful empirical research and yet have been overlooked by policy-makers, funders, publishers, philosophers of science and sometimes even scientists themselves, who have frequently evaluated science in terms of its products (e.g. new claims about phenomena or technologies for intervention in the world) rather than in terms of the processes through which such results are eventually achieved. These include the processes involved in valuing data as a key scientific resource; structuring scientific institutions and credit mechanisms so that data dissemination is supported and regulated in ways conducive to the advancement of both science and society; and situating and organising data into a context within which they can be interpreted reliably.
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