Searched for: subject%3A%22Data%255C+governance%22
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Koeleman, Friso (author)
In 2006 already, Clive Humby said: “Data is the New Oil!” and like oil, data needs “infrastructure” to be gathered, analyzed and used. This infrastructure is called data governance and it is essential in today’s data-driven era to ensure availability, quality and security of an organization’s data. This is especially true for financial services...
master thesis 2024
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Kurteva, A.K. (author), Pandit, Harshvardhan J. (author)
Protecting and preserving individuals’ personal data is a legal obligation set out by the European Union’s General Data Protection Regulation (GDPR). However, the process of implementing data governance to support that, in a decentralised ecosystem, is still vague. Motivated by the need for lawful decentralised data processing, this paper...
conference paper 2023
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Calzati, S. (author)
While the concept of digital twin has already consolidated in industry, its spinoff in the urban environment—in the form of a City Digital Twin (CDT)—is more recent. A CDT is a dynamic digital model of the physical city whereby the physical and the digital are integrated in both directions, thus mutually affecting each other in real time....
journal article 2023
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Calzati, S. (author), van Loenen, B. (author)
To harness the promises of digital transformation, different players take different paths. Departing from corporate-driven (e.g., the United States) and state-led (e.g., China) approaches, in various documents, the European Union states its goal to establish a citizen-centric data ecosystem. However, it remains contentious the extent to which...
journal article 2023
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Calzati, S. (author), van Loenen, B. (author)
In various official documents, the European Union has declared its goal to pursue a citizen-centric governance of digital transformation. Through a critical review of several of these documents, here we show how “citizen-centric” is more a glamouring than a driving concept. De facto, the EU is enabling a federated data system that is...
journal article 2023
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van Adrichem, Marijn (author)
Despite the potential benefits regarding data-sharing in the container supply chain, stakeholders still can be skeptical towards data-collaboration. Due to conflicting goals and objectives of companies and the competitive nature of the<br/>industry, data-collaboration cannot be easily achieved. Previous research has little touched upon combining...
master thesis 2022
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Azad, Hamza (author)
Rijkswaterstaat’s Storm Surge Barriers are expensive assets providing economic value with the expectation of future returns. The maintenance is executed by the asset management department, which aims at maximizing operability without sacrificing safety and reliability. However, regular maintenance becomes more stringent as circumstances change,...
master thesis 2022
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Kuğuoğlu, B.K. (author), van der Voort, H.G. (author), Janssen, M.F.W.H.A. (author)
Despite the promise of AI and IoT, the efforts of many organizations at scaling smart city initiatives fall short. Organizations often start by exploring the potential with a proof-of-concept and a pilot project, with the process later grinding to a halt for various reasons. Pilot purgatory, in which organizations invest in small-scale...
journal article 2021
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Abbas, A.E. (author)
Data Marketplace Meta-platforms (DMMPs) federate the fragmented set of data marketplaces and are expected to become a pivotal instrument to realize a single European Data Market in 2030. However, one critical hindrance to foster the adoption of business data sharing via DMMPs is data providers' risk of losing control over data. Generally, the...
conference paper 2021
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Brous, Paul (author), Janssen, M.F.W.H.A. (author)
Organizations are increasingly introducing data science initiatives to support decision-making. However, the decision outcomes of data science initiatives are not always used or adopted by decision-makers, often due to uncertainty about the quality of data input. It is, therefore, not surprising that organizations are increasingly turning to...
journal article 2020
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Taylor, Linnet (author), Meissner, F.V.M. (author)
Crisis narratives surrounding Europe’s 2015 migration influx fuelled demands for new ways of tracking, mapping and predicting human mobility. We explore how market opportunities for technology firms and data analytics start‐ups created by the EU’s Global Approach to Migration led to solutionistic approaches to compiling and analysing migration...
journal article 2020
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van Donge, W. (author), Bharosa, Nitesh (author), Janssen, M.F.W.H.A. (author)
Comparable to the concept of a data(-driven) enterprise, the concept of a ggovernment as data (-driven) enterprise' is gaining popularity as a data strategy. However, what it implies is unclear. The objective of this paper is to clarify the concept of the government as data (-driven) enterprise, and identify the challenges and drivers that...
conference paper 2020
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Janssen, M.F.W.H.A. (author), Brous, P.A. (author), Estevez, Elsa (author), Barbosa, Luis S. (author), Janowski, Tomasz (author)
The rise of Big, Open and Linked Data (BOLD) enables Big Data Algorithmic Systems (BDAS) which are often based on machine learning, neural networks and other forms of Artificial Intelligence (AI). As such systems are increasingly requested to make decisions that are consequential to individuals, communities and society at large, their...
journal article 2020
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Brous, P.A. (author), Janssen, M.F.W.H.A. (author), Krans, Rutger (author)
More and more, asset management organizations are introducing data science initiatives to support predictive maintenance and anomaly detection. Asset management organizations are by nature data intensive to manage their assets like bridges, dykes, railways and roads. For this, they often implement data lakes using a variety of architectures...
conference paper 2020
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Brous, P.A. (author)
Many organizations tasked with managing public utility infrastructure routinely collect and store large volumes of data for decision making purposes in their management and maintenance processes. This data is collected, stored and analyzed within asset management data infrastructures, however, traditional data management methods are becoming...
doctoral thesis 2019
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Cunningham, S. (author), Verbraeck, A. (author)
There is an increasing practice of combining various sorts of data from the city to obtain a comprehensive operating picture for urban managers. The sorts of data being combined includes administrative data, sensor and transactional data, and social media data. In order for these practices to fulfil their full promises it is important that...
conference paper 2019
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de Prieëlle, Fabian (author)
The Internet-of-Things has grown much in popularity over the past years, leading to the gathering of large amounts of pervasive and detailed data. This same trend is seen in the agriculture industry, where a lot of data can be collected on the cultivation methods. The agriculture industry is considered to be a strategically interesting industry...
master thesis 2018
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Asghari, H. (author), Mahieu, R.L.P. (author), van Eeten, M.J.G. (author)
The debate about how to govern personal data has intensified in recent years. The European Union’s General Data Protection Regulation, which came into effect in May 2018, relies on transparency mechanisms codified through obligations for organisations and citizen rights. While some of these rights have existed for decades, their effectiveness is...
journal article 2018
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Coetzee, Serena (author), Odijk, Martijn (author), van Loenen, B. (author), Storm, Janette (author), Stoter, J.E. (author)
National spatial data infrastructures are key to achieving the Digital Earth vision. In many cases, national datasets are integrated from local datasets created and maintained by municipalities. Examples are address, building and topographic information. Integration of local datasets may result in a dataset satisfying the needs of users of...
journal article 2018
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Floridi, Luciano (author), Cowls, Josh (author), Beltrametti, Monica (author), Chatila, Raja (author), Chazerand, Patrice (author), Dignum, M.V. (author), Luetge, Christoph (author), Madelin, Robert (author), Pagallo, Ugo (author)
This article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations—to assess...
journal article 2018
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