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

Institut for Digitalisering

Al-Farabi Kazakh National University

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › 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.

Originalsprog	Engelsk
Titel	The Proceedings of the 21st Annual International Conference on Digital Government Research (DGO2020) : Intelligent Government in the Intelligent Information Society
Redaktører	Seok-Jin Eom, Jooho Lee
Antal sider	3
Udgivelsessted	New York
Forlag	Association for Computing Machinery
Publikationsdato	jun. 2020
Sider	351-353
ISBN (Elektronisk)	9781450387910
DOI	https://doi.org/10.1145/3396956.3397006
Status	Udgivet - jun. 2020
Begivenhed	21st Annual International Conference on Digital Government Research. dg.o 2020: Intelligent Government in the Intelligent Information Society - Seoul National University, Seoul, Sydkorea Varighed: 15 jun. 2020 → 19 jun. 2020 Konferencens nummer: 21 http://dgsoc.org/dgo-2020/

Konference

Konference	21st Annual International Conference on Digital Government Research. dg.o 2020
Nummer	21
Lokation	Seoul National University
Land/Område	Sydkorea
By	Seoul
Periode	15/06/2020 → 19/06/2020
Internetadresse	http://dgsoc.org/dgo-2020/

Emneord

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

Adgang til dokumentet

10.1145/3396956.3397006Licens: Ikke-specificeret

https://dl.acm.org/doi/pdf/10.1145/3396956.3397006Licens: Ikke-specificeret

Handle.net

Persistent link

Citationsformater

Darmenova, A., Mamykova, Z., & Andersen, K. N. (2020). Open Data Against All Odds: How Institutions Manage. I S.-J. Eom, & J. Lee (red.), The Proceedings of the 21st Annual International Conference on Digital Government Research (DGO2020): Intelligent Government in the Intelligent Information Society (s. 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. red. / Seok-Jin Eom ; Jooho Lee. New York : Association for Computing Machinery, 2020. s. 351-353

@inproceedings{f0e2554d4cc34767a6c88476b53502a9,

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",

language = "English",

pages = "351--353",

editor = "Seok-Jin Eom and Jooho Lee",

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",

url = "http://dgsoc.org/dgo-2020/",

}

Darmenova, A, Mamykova, Z & Andersen, KN 2020, Open Data Against All Odds: How Institutions Manage. i S-J Eom & J Lee (red), 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, s. 351-353, 21st Annual International Conference on Digital Government Research. dg.o 2020, Seoul, Sydkorea, 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. red. / Seok-Jin Eom; Jooho Lee. New York: Association for Computing Machinery, 2020. s. 351-353.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - Open Data Against All Odds

T2 - 21st Annual International Conference on Digital Government Research. dg.o 2020

AU - Darmenova, Aida

AU - Mamykova, Zhanl

AU - Andersen, Kim Normann

N1 - Conference code: 21

PY - 2020/6

Y1 - 2020/6

N2 - 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.

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.

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

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

U2 - 10.1145/3396956.3397006

DO - 10.1145/3396956.3397006

M3 - Article in proceedings

SP - 351

EP - 353

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

A2 - Eom, Seok-Jin

A2 - Lee, Jooho

PB - Association for Computing Machinery

CY - New York

Y2 - 15 June 2020 through 19 June 2020

ER -

Darmenova A, Mamykova Z, Andersen KN. Open Data Against All Odds: How Institutions Manage. I Eom SJ, Lee J, red., 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. s. 351-353 doi: 10.1145/3396956.3397006