Categorisation of Open Government Data Literature
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3ALDCW7Y3Z" target="_blank" >RIV/00216208:11320/22:LDCW7Y3Z - isvavai.cz</a>
Result on the web
<a href="https://hrcak.srce.hr/ojs/index.php/bsr/article/view/19752" target="_blank" >https://hrcak.srce.hr/ojs/index.php/bsr/article/view/19752</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2478/bsrj-2022-0005" target="_blank" >10.2478/bsrj-2022-0005</a>
Alternative languages
Result language
angličtina
Original language name
Categorisation of Open Government Data Literature
Original language description
Background: Due to the emerging global interest in Open Government Data, research papers on various topics in this area have increased. Objectives: This paper aims to categorise Open government data research. Methods/Approach: A literature review was conducted to provide a complete overview and classification of open government data research. Hierarchical clustering, a cluster analysis method, was used, and a hierarchy of clusters on selected data sets emerged. Results: The results of this study suggest that there are two distinct clusters of research, which either focus on government perspectives and policies on OGD, initiatives, and portals or focus on regional studies, adoption of OGD, platforms, and barriers to implementation. Further findings suggest that research gaps could be segmented into many thematic areas, focusing on success factors, best practices, the impact of open government data, barriers/challenges in implementing open government data, etc. Conclusions: The extension of the paper, which was first presented at the Entrenova conference, provides a comprehensive overview of research to date on the implementation of OGD and points out that this topic has already received research attention, which focuses on specific segments of the phenomenon and signifies in which direction new research should be made.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Business Systems Research Journal [online]
ISSN
1847-9375
e-ISSN
1847-9375
Volume of the periodical
13
Issue of the periodical within the volume
1
Country of publishing house
HR - CROATIA
Number of pages
18
Pages from-to
66-83
UT code for WoS article
000868351200005
EID of the result in the Scopus database
2-s2.0-85140310056