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Essays on Big Data and Development.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Essays on Big Data and Development./
Author:	Garg, Sachin.
Description:	1 online resource (298 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 79-03(E), Section: A.
Subject:	Public policy. -
Online resource:	click for full text (PQDT)
ISBN:	9780355433166

Essays on Big Data and Development.
Garg, Sachin.

Essays on Big Data and Development. - 1 online resource (298 pages)

Source: Dissertation Abstracts International, Volume: 79-03(E), Section: A.

Thesis (Ph.D.)--George Mason University, 2017.

Includes bibliographical references

The world today is in the midst of a "data deluge". Thanks to the rise of Information and Communication Technologies (ICTs) and the mainstreaming of Machine Learning and Artificial Intelligence techniques, it is now possible to link disparate data sources and analyze this big data to gain deeper insights into human behavior than ever before. Examples abound in the field of economic development of how data sourced from mobile phone records can and are being used to identify disease patterns, socioeconomic status or identify new public transit routes. However, questions arise about the wider availability and accessibility of such data as they often form part of the core business assets of private corporations, and a source of comparative advantage. These essays on big data for development take the view that the public sector need not depend solely on the private sector for its big data needs, but should tap into its own existing data. Governments possess a wealth of administrative data, gathered through the normal process of governing. These administrative data can be linked together to create big data, which can then be used for decision making. As governments embrace e-governance, most of the newly created administrative data will be digital (for example, the Indian government's Unique ID project (Aadhar) contains digital identities of more than a billion people). However, especially in the emerging economies, many times the existing legacy data have not yet been converted into a format suitable for linking to create big data. This dissertation examines related, but distinct aspects in the creation of big data and its use for development and the challenges encountered on the way, by focusing on land administration in India.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355433166Subjects--Topical Terms:

1002398
Public policy.
Index Terms--Genre/Form:

554714
Electronic books.

Essays on Big Data and Development.
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245 1 0 $a Essays on Big Data and Development.
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300 $a 1 online resource (298 pages)
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500 $a Source: Dissertation Abstracts International, Volume: 79-03(E), Section: A.
500 $a Adviser: Philip E. Auerswald.
502 $a Thesis (Ph.D.)--George Mason University, 2017.
504 $a Includes bibliographical references
520 $a The world today is in the midst of a "data deluge". Thanks to the rise of Information and Communication Technologies (ICTs) and the mainstreaming of Machine Learning and Artificial Intelligence techniques, it is now possible to link disparate data sources and analyze this big data to gain deeper insights into human behavior than ever before. Examples abound in the field of economic development of how data sourced from mobile phone records can and are being used to identify disease patterns, socioeconomic status or identify new public transit routes. However, questions arise about the wider availability and accessibility of such data as they often form part of the core business assets of private corporations, and a source of comparative advantage. These essays on big data for development take the view that the public sector need not depend solely on the private sector for its big data needs, but should tap into its own existing data. Governments possess a wealth of administrative data, gathered through the normal process of governing. These administrative data can be linked together to create big data, which can then be used for decision making. As governments embrace e-governance, most of the newly created administrative data will be digital (for example, the Indian government's Unique ID project (Aadhar) contains digital identities of more than a billion people). However, especially in the emerging economies, many times the existing legacy data have not yet been converted into a format suitable for linking to create big data. This dissertation examines related, but distinct aspects in the creation of big data and its use for development and the challenges encountered on the way, by focusing on land administration in India.
520 $a Land records are a prime example of a legacy data source. Land is economically, politically and socially important, and often the main cause of human conflict. Significant populations the world over still do not have equitable access to land, and various land reform programs have attempted to provide such access. However, these land reforms rely on the land records to accurately reflect the true situation. But, in many emerging economies, it is often the case as the land records do not mirror the ground situation,and need correction. Information and Communication Technologies (ICTs) are being harnessed to efficiently and effectively create and correct the land administration data. India started work on its land records computerization in the nineteen eighties, and the work continues.
520 $a The first essay---Land Administration in India: A Big Data Perspective is an exploratory study that seeks to identify the reasons behind the paradox of why a country that has both a largely agrarian society (a need for land data) and is also considered to be an Information Technology powerhouse (the means to create it) remains deficient in good quality digital land data. The study is based upon interviews with land administrators and other stakeholders in India. These include officials from both the federal government and those working for the state of Madhya Pradesh, as well as members of civil society organizations working on land issues.
520 $a The second essay---Diffusion of Data Policies: A Sub-national Study across India is an empirical investigation of the state level proliferation of a Government of India program, the National Land Records Modernisation Programme (NLRMP). This program provides financial and technical support to the Indian states for their land records modernization activities. This essay applies the policy adoption/diffusion framework to a novel data set on Indian states' and districts' adoption of the NLRMP, to identify the main factors that impact adoption of data creation policies. Hypotheses based on the challenges identified by land administrators in the earlier essay are tested here to see if they are unique to Madhya Pradesh or can be generalized across the country.
520 $a The third essay in this dissertation---Big Data Paradigm Applied to Land Administration makes the case that as land data is big data, it should be treated as such. It uses specific land administration use-cases to demonstrate the need for a big data paradigm for land administration. It proposes a model for a flexible, adaptive and resilient land administration system built around data. Applying this big data paradigm to land administration ensures that the issues identified during the use of traditional land administration practices in the big data era are resolved. The essay emphasizes that applying the big data paradigm requires a supportive policy environment and the key elements of such an environment are identified.
520 $a The dissertation concludes by discussing, and expanding upon, the policy implications that emerge from each of the three main essays.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Public policy. $3 1002398
650 4 $a Information technology. $3 559429
655 7 $a Electronic books. $2 local $3 554714
690 $a 0630
690 $a 0489
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a George Mason University. $b Public Policy. $3 1183464
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