Publication

Digital approaches and mobilities in the Big Data era

Jean-François Lucas
2020
Book Chapters

Abstract

This chapter discusses some of the opportunities offered by Big Data to understand mobility practices. However, beyond its promises, it has to be considered as human and social constructions. Therefore, the author underlines the importance of describing all the decisions, operations, constraints, etc. that shape these data and the algorithms they feed in order to identify their limitations. This chapter also points out the challenges of Big Data for scientific research, in terms of the opportunities it offers to renew the understanding of mobility, but also the challenges it poses for the human and social sciences (HSS)

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https://infoscience.epfl.ch/entities/publication/44236615-bb63-4335-8a4b-7bdc31adfc6c

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Jean-François Lucas
2020
Book Chapters

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/44236615-bb63-4335-8a4b-7bdc31adfc6c

About this result

Related concepts (30)

Big data

Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Though used sometimes loosely partly because of a lack of formal definition, the interpretation that seems to best describe big data is the one associated with a large body of information that we could not comprehend when used only in smaller amounts.

Data

In common usage and statistics, data (USˈdætə; UKˈdeɪtə) is a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures.

Data management

Data management comprises all disciplines related to handling data as a valuable resource. The concept of data management arose in the 1980s as technology moved from sequential processing (first punched cards, then magnetic tape) to random access storage. Since it was now possible to store a discrete fact and quickly access it using random access disk technology, those suggesting that data management was more important than business process management used arguments such as "a customer's home address is stored in 75 (or some other large number) places in our computer systems.

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