From the evolution of public data ecosystems to the evolving horizons of the forward-looking intelligent public data ecosystem empowered by emerging technologies
Anastasija Nikiforova, Martin Lnenicka, Petar Mili\'c, Mariusz Luterek, and Manuel Pedro Rodr\'iguez Bol\'ivar

TL;DR
This paper empirically validates a six-generation model of public data ecosystems, highlighting the transformative impact of emerging technologies like AI and LLMs on their evolution and management across five European countries.
Contribution
It provides the first empirical validation of the theoretical EMPDE model, focusing on the 6th generation driven by emerging technologies and their role in PDE evolution.
Findings
Validation across five European countries shows diverse PDE implementations.
Emerging technologies significantly influence the 6th generation of PDEs.
Technologies enable PDEs to act as both actors and stakeholders.
Abstract
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 pro-posed a six-generation Evolutionary Model of Public Data Ecosystems (EMPDE). Designed as a result of a systematic literature review on the topic spanning three decade, 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"…
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Taxonomy
TopicsPrivacy, Security, and Data Protection · Big Data and Business Intelligence · Big Data Technologies and Applications
MethodsALIGN
