Big Data and Government Information

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Description

Panel paper for the 2017 International Conference on Knowledge Management. This panel explores the current landscape of big data applications for government information.

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3 p.

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Alemneh, Daniel Gelaw; Phillips, Mark Edward; Smith, Lisa & Shimabuku, Hope October 25, 2017.

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This paper is part of the collection entitled: International Conference on Knowledge Management (ICKM) and was provided by the UNT Libraries to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 100 times, with 16 in the last month. More information about this paper can be viewed below.

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Description

Panel paper for the 2017 International Conference on Knowledge Management. This panel explores the current landscape of big data applications for government information.

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3 p.

Notes

Abstract: It is a well-accepted fact that emerging trends in technology (such as the rapid growth of mobile devices and cloud computing solutions) are changing the landscape, and increasingly, governments are able to provide easy and equal access to public services and facilitate better citizen participation in public affairs. Although governments make big-data strategy part of the efforts to enhance their ability to serve their citizens; there are concerns with big-data applications ranging from data security to interoperability and preservation. This panel brings together diverse stakeholders, explores the current landscape, and examines various issues of big data applications in the government,

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  • 13th International Conference on Knowledge Management, October 25-26, 2017. Dallas, Texas.

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International Conference on Knowledge Management (ICKM)

Serving as digital proceedings, this collection includes papers, posters, and slides from invited talks as well as practitioner and sponsor presentations for the annual International Conference on Knowledge Management (ICKM).

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Creation Date

  • October 25, 2017

Added to The UNT Digital Library

  • Jan. 23, 2018, 5:28 a.m.

Description Last Updated

  • June 15, 2021, 3:46 p.m.

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Alemneh, Daniel Gelaw; Phillips, Mark Edward; Smith, Lisa & Shimabuku, Hope. Big Data and Government Information, paper, October 25, 2017; (https://digital.library.unt.edu/ark:/67531/metadc1062086/: accessed April 19, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .

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