Data governance refers to the exercise of authority and control over the management of
data. The purpose of data governance is to increase the value of data and minimize data …

Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …

Safeguarding security and privacy remains a major challenge with regards to the Internet of
Things (IoT) primarily due to the large scale and distribution of IoT networks. The information …

A key insight in the literature on administrative burdens and exclusion is that they can be a
form of policy making by other means to disincentivize people's access to services, rights …

Despite being in competitive relations, organizations increasingly engage in data-centric
collaborations to utilize access and provision to distributed data sources. Over time, these …

There is a growing literature on how policy capacities shape policy implementation. In this
article we focus on a specific type: information capacity and its effects on implementation …

The role of data governance is experiencing a paradigm shift as organizations increasingly
incorporate data governance to encourage the strategic utilization of data and, therefore …

The realm of big data has brought new venues for knowledge acquisition, but also major
challenges including data interoperability and effective management. The great volume of …

Although Cloud computing is gaining popularity by supporting data analysis in an
outsourced and cost-effective way, it brings serious privacy issues when sending the original …

The current regulatory landscape that applies to maritime service robotics, aptly termed as
robotics and autonomous systems (RAS), is quite complex. When it comes to patents, there …