Democratizing our data: (Record no. 4364)

MARC details
000 -LEADER
fixed length control field 02075nam a22001817a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221216115747.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221216b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262542746
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 352.750973
Item number LAN
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Lane, Julia
245 ## - TITLE STATEMENT
Title Democratizing our data:
Remainder of title a manifesto
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. MIT Press
Place of publication, distribution, etc. Cambridge
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent xii, 174 p.
365 ## - TRADE PRICE
Price type code USD
Price amount 16.95
520 ## - SUMMARY, ETC.
Summary, etc. A wake-up call for America to create a new framework for democratizing data.<br/><br/>Public data are foundational to our democratic system. People need consistently high-quality information from trustworthy sources. In the new economy, wealth is generated by access to data; government's job is to democratize the data playing field. Yet data produced by the American government are getting worse and costing more. In Democratizing Our Data, Julia Lane argues that good data are essential for democracy. Her book is a wake-up call to America to fix its broken public data system.<br/><br/>Lane argues that we must rethink ways to democratize data; there are successful models to follow and new legislation that can help effect change. The private sector's data revolution—which creates new types of data and new measurements to build machine learning and artificial intelligence algorithms—can be mirrored by a public sector data revolution characterized by attention to counting all who should be counted, measuring what should be measured, and protecting privacy and confidentiality. Just as Google, Amazon, Microsoft, Apple, and Facebook have led the world in the use of data for profit, the United States can show the world how to produce data for the public good. <br/><br/>Lane calls for a more automated, transparent, and accountable framework for creating high-quality public data that would empower citizens and inspire the government that serves them. And she outlines an organizational model that has the potential to make data more accessible and useful. As she says, failure to act threatens our democracy.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistical services
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Public Policy & General Management IB/IN/779 24-11-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 12/16/2022 International Book Centre 921.66   352.750973 LAN 004035 12/16/2022 1 1401.77 12/16/2022 Book

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