From the Evolution of Public Data Ecosystems to the Evolving Horizons of the Forward-Looking Intelligent Public Data Ecosystem Empowered by Emerging Technologies
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F24%3A50021792" target="_blank" >RIV/62690094:18450/24:50021792 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-70274-7_25" target="_blank" >http://dx.doi.org/10.1007/978-3-031-70274-7_25</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-70274-7_25" target="_blank" >10.1007/978-3-031-70274-7_25</a>
Alternative languages
Result language
angličtina
Original language name
From the Evolution of Public Data Ecosystems to the Evolving Horizons of the Forward-Looking Intelligent Public Data Ecosystem Empowered by Emerging Technologies
Original language description
Public Data Ecosystems (PDEs) represent complex socio-technical systems crucial for optimizing data use in the public sector and outside it. Recognizing their multifaceted nature, previous research proposed a six-generation Evolutionary Model of Public Data Ecosystems (EMPDE). Designed as a result of a systematic literature review on the topic spanning three decades, this model, while theoretically robust, necessitates empirical validation to enhance its practical applicability. This study addresses this gap by validating the theoretical model through a real-life examination in five European countries - Latvia, Serbia, Czech Republic, Spain, and Poland. This empirical validation provides insights into PDEs dynamics and variations of implementations across contexts, particularly focusing on the 6th generation of forward-looking PDE generation named "Intelligent Public Data Generation" which represents a paradigm shift driven by emerging technologies such as cloud computing, Artificial Intelligence (AI), Natural Language Processing tools, Generative AI, and Large Language Models with potential to contribute to both automation and augmentation of business processes within these ecosystems. By transcending their traditional status as a mere component, evolving into both an actor and a stakeholder simultaneously, these technologies catalyse innovation and progress, enhancing PDE management strategies to align with societal, regulatory, and technical imperatives in the digital era.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
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
Article name in the collection
ELECTRONIC GOVERNMENT, EGOV 2024
ISBN
978-3-031-70274-7
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
17
Pages from-to
402-418
Publisher name
SPRINGER INTERNATIONAL PUBLISHING AG
Place of publication
Cham
Event location
Ghent
Event date
Sep 3, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001308584400025