Understanding the development of public data ecosystems: From a conceptual model to a six-generation model of the evolution of public data ecosystems
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 …
adding public data ecosystems and how these elements form and shape the development of …
Survey on digital sovereignty and identity: from digitization to digitalization
Through digital transformation, lots of personal data are captured, but individuals often do
not have ownership or control over them. This results in the emerging Web 3.0, where …
not have ownership or control over them. This results in the emerging Web 3.0, where …
Industrial data ecosystems and data spaces
Industrial data ecosystems are inter-organizational forms of cooperation emerging around
sharing data. They arise from a digital infrastructure, giving data providers and data users a …
sharing data. They arise from a digital infrastructure, giving data providers and data users a …
[HTML][HTML] Issues in inter-organizational data sharing: Findings from practice and research challenges
Sharing data is highly potent in assisting companies in internal optimization and designing
new products and services. While the benefits seem obvious, sharing data is accompanied …
new products and services. While the benefits seem obvious, sharing data is accompanied …
Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments' toxicities
In this paper, we present Knowledge4COVID-19, a framework that aims to showcase the
power of integrating disparate sources of knowledge to discover adverse drug effects …
power of integrating disparate sources of knowledge to discover adverse drug effects …
[HTML][HTML] Information systems engineering with Digital Shadows: Concept and use cases in the Internet of Production
M Liebenberg, M Jarke - Information Systems, 2023 - Elsevier
Entering the second decade of the Industrie 4.0 vision, the production sector is facing
challenges in taking full advantage of global digitalization. Production research has focused …
challenges in taking full advantage of global digitalization. Production research has focused …
A conceptual framework for the government big data ecosystem ('datagov. eco')
The public sector, private firms, and civil society constantly create data of high volume,
velocity, and veracity from diverse sources. This kind of data is known as big data. As in …
velocity, and veracity from diverse sources. This kind of data is known as big data. As in …
Knowledge graphs for enhancing transparency in health data ecosystems 1
Tailoring personalized treatments demands the analysis of a patient's characteristics, which
may be scattered over a wide variety of sources. These features include family history, life …
may be scattered over a wide variety of sources. These features include family history, life …
[HTML][HTML] The unresolved need for dependable guarantees on security, sovereignty, and trust in data ecosystems
Data ecosystems emerged as a new paradigm to facilitate the automated and massive
exchange of data from heterogeneous information sources between different stakeholders …
exchange of data from heterogeneous information sources between different stakeholders …
Motives and incentives for data sharing in industrial data ecosystems: an explorative single case study
The increasing connectivity of the business world leads to economic value being created
less and less by one company alone, but rather through the exchange and combination of …
less and less by one company alone, but rather through the exchange and combination of …