000			03259nam a2200457 i 4500
001			8709328
003			IEEE
005			20220712204939.0
006			m o d
007			cr |n|||||||||
008			190614s2019 mau ob 001 eng d
020			_a9780262352215 _qelectronic bk.
020			_z0262352214 _qelectronic bk.
020			_z9780262039666 _qprint
035			_a(CaBNVSL)mat08709328
035			_a(IDAMS)0b000064892e0e12
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aZA4065 _b.L68 2019eb
082	0	4	_a025.042 _223
100	1		_aLoukissas, Yanni A. _q(Yanni Alexander), _eauthor. _925673
245	1	0	_aAll data are local : _bthinking critically in a data-driven society / _cYanni Alexander Loukissas ; foreword by Geoffrey C. Bowker.
264		1	_aCambridge : _bThe MIT Press, _c2019.
264		2	_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2019]
300			_a1 PDF (272 pages).
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
506			_aRestricted to subscribers or individual electronic text purchasers.
520			_aHow to analyze data settings rather than data sets, acknowledging the meaning-making power of the local. In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Loukissas argues in All Data Are Local , we should approach data sets with an awareness that data are created by humans and their dutiful machines, at a time, in a place, with the instruments at hand, for audiences that are conditioned to receive them. All data are local. The term data set implies something discrete, complete, and portable, but it is none of those things. Examining a series of data sources important for understanding the state of public life in the United States--Harvard's Arnold Arboretum, the Digital Public Library of America, UCLA's Television News Archive, and the real estate marketplace Zillow--Loukissas shows us how to analyze data settings rather than data sets. Loukissas sets out six principles: all data are local; data have complex attachments to place; data are collected from heterogeneous sources; data and algorithms are inextricably entangled; interfaces recontextualize data; and data are indexes to local knowledge. He then provides a set of practical guidelines to follow. To make his argument, Loukissas employs a combination of qualitative research on data cultures and exploratory data visualizations. Rebutting the "myth of digital universalism," Loukissas reminds us of the meaning-making power of the local.
530			_aAlso available in print.
538			_aMode of access: World Wide Web
588	0		_aPrint version record.
650		0	_aElectronic information resource literacy. _925674
650		0	_aMedia literacy. _925675
655		4	_aElectronic books. _93294
710	2		_aIEEE Xplore (Online Service), _edistributor. _925676
710	2		_aMIT Press, _epublisher. _925677
776	0	8	_iPrint version: _aLoukissas, Yanni A. (Yanni Alexander), author. _tAll data are local _z9780262039666 _w(DLC) 2018030570 _w(OCoLC)1054264218
856	4	2	_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8709328
942			_cEBK
999			_c73599 _d73599