A prospect for the geographical research of sport in the age of Big Data

Tian, Enqing

doi:10.1080/17430437.2018.1555233

Cited by 7 publications

(1 citation statement)

References 43 publications

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“…Big data are thus not just a selection of raw traces but are rather the collection of all of them (Ekstrom, 2013;Kitchin, 2013Kitchin, , 2014Walker, 2015;Cheung et al, 2019;Tani, 2019;Taylor and Meissner, 2019;Tian, 2020). Assuming that data are neutral and fully exhaustive, the problem in handling them becomes technical.…”

Section: A Photo Stole My Soul: the End Of Theory And Other Selected mentioning

confidence: 99%

Big Data and the Little Big Bang: An Epistemological (R)evolution

Balazka

Rodighiero

2020

Front. Big Data

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Starting from an analysis of frequently employed definitions of big data, it will be argued that, to overcome the intrinsic weaknesses of big data, it is more appropriate to define the object in relational terms. The excessive emphasis on volume and technological aspects of big data, derived from their current definitions, combined with neglected epistemological issues gave birth to an objectivistic rhetoric surrounding big data as implicitly neutral, omni-comprehensive, and theory-free. This rhetoric contradicts the empirical reality that embraces big data: (1) data collection is not neutral nor objective; (2) exhaustivity is a mathematical limit; and (3) interpretation and knowledge production remain both theoretically informed and subjective. Addressing these issues, big data will be interpreted as a methodological revolution carried over by evolutionary processes in technology and epistemology. By distinguishing between forms of nominal and actual access, we claim that big data promoted a new digital divide changing stakeholders, gatekeepers, and the basic rules of knowledge discovery by radically shaping the power dynamics involved in the processes of production and analysis of data.

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Section: A Photo Stole My Soul: the End Of Theory And Other Selected mentioning

confidence: 99%

Big Data and the Little Big Bang: An Epistemological (R)evolution

Balazka

Rodighiero

2020

Front. Big Data

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Big data in professional sport: the perspective of practitioners in the NFL, MLB, NBA, and NHL

Abeza

O’Reilly

Nadeau

et al. 2022

Journal of Strategic Marketing

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Study and application of computer information big data in basketball vision system using high-definition camera motion data capture

Jing-wei

2021

J. Phys.: Conf. Ser.

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Contemporary computer big data technology is developing rapidly, and it has played a role in promoting the intelligent development of sports. Based on this research background, the thesis revolves around the application of computer big data artificial intelligence in the field of basketball training. The study found that computerized big data in basketball training and teaching is mainly reflected in the following aspects: high-definition camera motion data capture, player analysis to obtain assisted training system, etc. The final paper uses a basketball vision system as a case study to analyze specific applications of big data for computer information.

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A prospect for the geographical research of sport in the age of Big Data

Cited by 7 publications

References 43 publications

Big Data and the Little Big Bang: An Epistemological (R)evolution

Big Data and the Little Big Bang: An Epistemological (R)evolution

Big data in professional sport: the perspective of practitioners in the NFL, MLB, NBA, and NHL

Study and application of computer information big data in basketball vision system using high-definition camera motion data capture

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