Understanding the development of public data ecosystems: From a conceptual model to a six-generation model of the evolution of public data ecosystems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F24%3A50021793" target="_blank" >RIV/62690094:18450/24:50021793 - isvavai.cz</a>
Alternative codes found
RIV/00216275:25410/24:39922425
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0736585324000947" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0736585324000947</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.tele.2024.102190" target="_blank" >10.1016/j.tele.2024.102190</a>
Alternative languages
Result language
angličtina
Original language name
Understanding the development of public data ecosystems: From a conceptual model to a six-generation model of the evolution of public data ecosystems
Original language description
There is a lack of understanding of the elements that constitute different types of value-adding public data ecosystems and how these elements form and shape the development of these ecosystems over time, which can lead to misguided efforts to develop future public data ecosystems. The aim of the study is twofold: (1) to explore how public data ecosystems have developed over time and (2) to identify the value-adding elements and formative characteristics of public data ecosystems. Using an exploratory retrospective analysis and a deductive approach, we systematically review 148 studies published between 1994 and 2023. Based on the results, this study presents a typology of public data ecosystems and develops a conceptual model of elements and formative characteristics that contribute most to value-adding public data ecosystems. Moreover, this study develops a conceptual model of the evolutionary generation of public data ecosystems represented by six generations that differ in terms of (a) components and relationships, (b) stakeholders, (c) actors and their roles, (d) data types, (e) processes and activities, and (f) data lifecycle phases. Finally, three avenues for a future research agenda are proposed. This study is relevant for practitioners suggesting what elements of public data ecosystems have the most potential to generate value and should thus be part of public data ecosystems. As a scientific contribution, this study integrates conceptual knowledge about the elements of public data ecosystems, the evolution of these ecosystems, defines a future research agenda, and thereby moves towards defining public data ecosystems of the new generation.
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
50803 - Information science (social aspects)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
TELEMATICS AND INFORMATICS
ISSN
0736-5853
e-ISSN
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Volume of the periodical
94
Issue of the periodical within the volume
October
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
23
Pages from-to
"Article Number: 102190"
UT code for WoS article
001327901800001
EID of the result in the Scopus database
2-s2.0-85204947081