Open Data Against All Odds: How Institutions Manage

Aida Darmenova; Zhanl Mamykova; Kim Normann Andersen

doi:10.1145/3396956.3397006

Open Data Against All Odds: How Institutions Manage

Aida Darmenova, Zhanl Mamykova, Kim Normann Andersen

Department of Digitalization

Al-Farabi Kazakh National University

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

This paper presents a research-in-progress case study of al-Farabi Kazakh National University (KazNU). While KazNU develops data management strategy, the paper aims to explore and analyse how data governance may help crystalize strategy objectives to ensure smooth implementation. The paper also examines drivers and inhibitors for adoption of open data by a public organization in Kazakhstan, in order to develop applicable scenarios on identification of data in need.

Original language	English
Title of host publication	The Proceedings of the 21st Annual International Conference on Digital Government Research (DGO2020) : Intelligent Government in the Intelligent Information Society
Editors	Seok-Jin Eom, Jooho Lee
Number of pages	3
Place of Publication	New York
Publisher	Association for Computing Machinery
Publication date	Jun 2020
Pages	351-353
ISBN (Electronic)	9781450387910
DOIs	https://doi.org/10.1145/3396956.3397006
Publication status	Published - Jun 2020
Event	21st Annual International Conference on Digital Government Research. dg.o 2020: Intelligent Government in the Intelligent Information Society - Seoul National University, Seoul, Korea, Republic of Duration: 15 Jun 2020 → 19 Jun 2020 Conference number: 21 http://dgsoc.org/dgo-2020/

Conference

Conference	21st Annual International Conference on Digital Government Research. dg.o 2020
Number	21
Location	Seoul National University
Country/Territory	Korea, Republic of
City	Seoul
Period	15/06/2020 → 19/06/2020
Internet address	http://dgsoc.org/dgo-2020/

Keywords

Open data
Data governance
Adoption issues
Drives
Inhibitors
Government transformation
Public organizations
Higher education system
Kazakhstan

Access to Document

10.1145/3396956.3397006Licence: Unspecified

https://dl.acm.org/doi/pdf/10.1145/3396956.3397006Licence: Unspecified

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Cite this

Darmenova, A., Mamykova, Z., & Andersen, K. N. (2020). Open Data Against All Odds: How Institutions Manage. In S.-J. Eom, & J. Lee (Eds.), The Proceedings of the 21st Annual International Conference on Digital Government Research (DGO2020): Intelligent Government in the Intelligent Information Society (pp. 351-353). Association for Computing Machinery. https://doi.org/10.1145/3396956.3397006

Darmenova, Aida ; Mamykova, Zhanl ; Andersen, Kim Normann. / Open Data Against All Odds : How Institutions Manage. The Proceedings of the 21st Annual International Conference on Digital Government Research (DGO2020): Intelligent Government in the Intelligent Information Society. editor / Seok-Jin Eom ; Jooho Lee. New York : Association for Computing Machinery, 2020. pp. 351-353

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title = "Open Data Against All Odds: How Institutions Manage",

abstract = "This paper presents a research-in-progress case study of al-Farabi Kazakh National University (KazNU). While KazNU develops data management strategy, the paper aims to explore and analyse how data governance may help crystalize strategy objectives to ensure smooth implementation. The paper also examines drivers and inhibitors for adoption of open data by a public organization in Kazakhstan, in order to develop applicable scenarios on identification of data in need.",

keywords = "Open data, Data governance, Adoption issues, Drives, Inhibitors, Government transformation, Public organizations, Higher education system, Kazakhstan, Open data, Data governance, Adoption issues, Drives, Inhibitors, Government transformation, Public organizations, Higher education system, Kazakhstan",

author = "Aida Darmenova and Zhanl Mamykova and Andersen, {Kim Normann}",

year = "2020",

month = jun,

doi = "10.1145/3396956.3397006",

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booktitle = "The Proceedings of the 21st Annual International Conference on Digital Government Research (DGO2020)",

publisher = "Association for Computing Machinery",

address = "United States",

note = "21st Annual International Conference on Digital Government Research. dg.o 2020 : Intelligent Government in the Intelligent Information Society, DGO.2020 ; Conference date: 15-06-2020 Through 19-06-2020",

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Darmenova, A, Mamykova, Z & Andersen, KN 2020, Open Data Against All Odds: How Institutions Manage. in S-J Eom & J Lee (eds), The Proceedings of the 21st Annual International Conference on Digital Government Research (DGO2020): Intelligent Government in the Intelligent Information Society. Association for Computing Machinery, New York, pp. 351-353, 21st Annual International Conference on Digital Government Research. dg.o 2020, Seoul, Korea, Republic of, 15/06/2020. https://doi.org/10.1145/3396956.3397006

Open Data Against All Odds: How Institutions Manage. / Darmenova, Aida; Mamykova, Zhanl; Andersen, Kim Normann.
The Proceedings of the 21st Annual International Conference on Digital Government Research (DGO2020): Intelligent Government in the Intelligent Information Society. ed. / Seok-Jin Eom; Jooho Lee. New York: Association for Computing Machinery, 2020. p. 351-353.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AB - This paper presents a research-in-progress case study of al-Farabi Kazakh National University (KazNU). While KazNU develops data management strategy, the paper aims to explore and analyse how data governance may help crystalize strategy objectives to ensure smooth implementation. The paper also examines drivers and inhibitors for adoption of open data by a public organization in Kazakhstan, in order to develop applicable scenarios on identification of data in need.

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KW - Data governance

KW - Adoption issues

KW - Drives

KW - Inhibitors

KW - Government transformation

KW - Public organizations

KW - Higher education system

KW - Kazakhstan

KW - Open data

KW - Data governance

KW - Adoption issues

KW - Drives

KW - Inhibitors

KW - Government transformation

KW - Public organizations

KW - Higher education system

KW - Kazakhstan

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BT - The Proceedings of the 21st Annual International Conference on Digital Government Research (DGO2020)

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Darmenova A, Mamykova Z, Andersen KN. Open Data Against All Odds: How Institutions Manage. In Eom SJ, Lee J, editors, The Proceedings of the 21st Annual International Conference on Digital Government Research (DGO2020): Intelligent Government in the Intelligent Information Society. New York: Association for Computing Machinery. 2020. p. 351-353 doi: 10.1145/3396956.3397006