Democratizing our data: (Record no. 4364)
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000 -LEADER | |
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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 |
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 |
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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 |