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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50803 - Information science (social aspects)

Result continuities

  • Project

  • 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

  • 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