Data at scale

Alberto Traverso*, Frank Dankers, Leonard Wee, Sander van Kuijk

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic


Pre-requisites to better understand the chapter: basic knowledge of major sources of clinical data. Logical position of the chapter with respect to the previous chapter: in the previous chapter, you have learned what the major sources of clinical data are. In this chapter, we will dive into the main characteristics of presented data sources. In particular, we will learn how to distinguish and classify data according to its scale. Learning objectives: you will learn the major differences between data sources presented in previous chapters; how clinical data can be classified according to its scale. You will get familiar with the concept of ‘big’ clinical data; you will learn which are the major concerns limiting ‘big’ data exchange.
Original languageEnglish
Title of host publicationFundamentals of Clinical Data Science
EditorsPieters Kubben, Michel Dumontier, Andre Dekker
Number of pages7
ISBN (Electronic)978-3-319-99713-1
ISBN (Print)978-3-319-99712-4
Publication statusPublished - 2019

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