Physicalizations of Big Data in Ethnographic Context

Jacob Buur*, Sara Said Mosleh, Christina Fyhn Nielsen

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Resumé

With the Big Data hype, making digital data accessible and relatable for non-data experts is becoming an increasing challenge. In this paper we suggest Data Physicalization as a novel approach to facilitate conversations with collaborators about the meaning of data. While this challenge has been approached with data visualizations before, we propose that Data Physicalizations can bring stronger engagement and even more depth to the data than visualizations can offer. Based on four design examples, we investigate how data, when made physical, can be used to instigate valuable reflections between field researchers and non-data experts, and can serve as a platform for design. In all cases we worked with Data Physicalization to enhance our own understanding of the field, to engage collaborators in sense-making, and to move towards design proposals. In the concluding section we discuss the intricate process of developing such Data Physicalizations and suggest traits that make them successful.
OriginalsprogEngelsk
TidsskriftEthnographic Praxis in Industry Conference. Conference Proceedings
Vol/bind2018
Udgave nummer1
Sider (fra-til)86-103
ISSN1559-890X
DOI
StatusUdgivet - okt. 2018
BegivenhedEthnographic Praxis in Industry Conference - Hawaii, Honolulu, USA
Varighed: 10. okt. 201812. okt. 2018
https://2018.epicpeople.org/

Konference

KonferenceEthnographic Praxis in Industry Conference
LokationHawaii
LandUSA
ByHonolulu
Periode10/10/201812/10/2018
Internetadresse

Fingeraftryk

Data visualization
Big data

Emneord

  • Big Data
  • Data Physicalization

Citer dette

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title = "Physicalizations of Big Data in Ethnographic Context",
abstract = "With the Big Data hype, making digital data accessible and relatable for non-data experts is becoming an increasing challenge. In this paper we suggest Data Physicalization as a novel approach to facilitate conversations with collaborators about the meaning of data. While this challenge has been approached with data visualizations before, we propose that Data Physicalizations can bring stronger engagement and even more depth to the data than visualizations can offer. Based on four design examples, we investigate how data, when made physical, can be used to instigate valuable reflections between field researchers and non-data experts, and can serve as a platform for design. In all cases we worked with Data Physicalization to enhance our own understanding of the field, to engage collaborators in sense-making, and to move towards design proposals. In the concluding section we discuss the intricate process of developing such Data Physicalizationsand suggest traits that make them successful.",
keywords = "Big Data, Data Physicalization, Data Physicalization, Big Data",
author = "Jacob Buur and {Said Mosleh}, Sara and Nielsen, {Christina Fyhn}",
year = "2018",
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publisher = "American Anthropological Association",
number = "1",

}

Physicalizations of Big Data in Ethnographic Context. / Buur, Jacob; Said Mosleh, Sara ; Nielsen, Christina Fyhn.

I: Ethnographic Praxis in Industry Conference. Conference Proceedings, Bind 2018, Nr. 1, 10.2018, s. 86-103.

Publikation: Bidrag til tidsskriftKonferenceartikelForskningpeer review

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AB - With the Big Data hype, making digital data accessible and relatable for non-data experts is becoming an increasing challenge. In this paper we suggest Data Physicalization as a novel approach to facilitate conversations with collaborators about the meaning of data. While this challenge has been approached with data visualizations before, we propose that Data Physicalizations can bring stronger engagement and even more depth to the data than visualizations can offer. Based on four design examples, we investigate how data, when made physical, can be used to instigate valuable reflections between field researchers and non-data experts, and can serve as a platform for design. In all cases we worked with Data Physicalization to enhance our own understanding of the field, to engage collaborators in sense-making, and to move towards design proposals. In the concluding section we discuss the intricate process of developing such Data Physicalizationsand suggest traits that make them successful.

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