Titlebook: Data Journeys in the Sciences; Sabina Leonelli,Niccolò Tempini Book‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applicable) and The Author(s) 2020 Big

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Birgit Szczyrba,Timo van Treeckg place when research technology makes physical contact with the objects targeted in research endeavours shape the subsequent data journeys and the practices of creating scientific knowledge. The chapter is based on a case study of ecological monitoring in ocean sciences and zooms in on the practice

即席

Vasoconstrictor

Vasoconstrictor

Matthew L. Cole,Jacqueline M. Stavrosuse as evidence for claims about phenomena such as business cycles and gene-environment interactions. We focus on what we call “cleaning by clustering” procedures, and investigate the principles underpinning this kind of cleaning. These cases illustrate the epistemic significance of preparing data f

ANTH

Sarah M. Bestgen,Filomena Sabatellar of individual data series, each one in turn made up of a string of individual data points or datums. This group set forms the most important context for considering the travels of any single numerical datum. The purpose of this paper is to explore and explain how it is that different kinds of grou

外來

Coaching in der reflexiven Modernenetworks, and NDEx, a database that allows for the reuse of network representations. I begin with a brief review of the databases that have been developed for data involving, for example, protein-protein interactions, that are relational and hence productively represented in networks. Given the amou

Traumatic-Grief

https://doi.org/10.1007/978-3-658-22677-0been called the “re-situation” of scientific knowledge (Morgan .). The kind of journey described elicits a missing concept—“data.-centric” biology—in the conversation around the emergence of “big data” and data-centric biology (Leonelli .) and its contrast, “traditional” or “small data” biology. I d