Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Data, Data Everywhere

Bibliographic Data

ID2428255
AuthorsTheresa Macphail (corresponding author)
Year2015
Volume27
Issue2
Pages213-219
Publication date2015-05-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePublic Culture (JOURNAL)
Journal identifiersISSN: 0899-2363 • E-ISSN: 1527-8018
PublisherDuke University Press (PUBLISHER • US)
DOI10.1215/08992363-2841820
OpenAlexW2278792348
LanguageEN
Citations received3
References cited3

This essay examines the "era of big data" through the lens of recent attempts at its application within the realm of public health. Arguing that debates about big data's newness or usefulness are misplaced, I suggest that big data is less about finding solutions to complex social problems than it is about discovering better - and more relevant - research questions

Big data · Data mining · Data science · Political science · Realm · Sociology · Through-the-lens metering · Computer Science · Data-Driven Disease Surveillance · Engineering · Law · Medical Coding and Health Information · Public Health Policies and Education

  • When numbers eclipse narratives

    Brenda K Wilson•Medical Humanities•2021

  • The ‘end of Aids’ project

    Open Access•Suzanne Leclerc‐madlala, Lorie Broomhall et al.•Global Public Health•2017

  • The Year 2015 in Sociocultural Anthropology

    Open Access•Dolores Koenig•American Anthropologist•2016

  • The Parable of Google Flu

    Open Access•David Lazer, Ryan Kennedy et al.•Science•2014

  • Big Data and Their Epistemological Challenge

    Open Access•Luciano Floridi•Philosophy & Technology•2012

  • Big data, little history

    Open Access•Trevor J Barnes•Dialogues in Human Geography•2013

Unique citing works3
Citations per year0.3
Citation span2016 - 2021 (6)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 3

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae