Data Smells in Public Datasets

The adoption of Artificial Intelligence (AI) in high-stakes domains such as healthcare, wildlife preservation, autonomous driving and criminal justice system calls for a data-centric approach to AI. Data scientists spend the majority of their time studying and wrangling the data, yet tools to aid them with data analysis are lacking. This...

Quality control and bias adjustment of crowdsourced wind speed observations

Wind observations collected at citizen weather stations (CWSs) could be an invaluable resource in climate and meteorology studies, yet these observations are underutilised because scientists do not have confidence in their quality. These wind speed observations have systematic biases, likely caused by improper instrumentation and station...

Are your indoorGML files valid?

IndoorGML datasets allow us to represent both (1) the geometry of the interior of a building, which is subdivided into <i>cells</i> (eg rooms, corridors, staircases); and (2) the navigation graph between these cells, which also acts as a mechanism to store the topological relationships between the cells. To be used in applications such as...

On Evaluating Floating Car Data Quality for Knowledge Discovery

Floating car data (FCD) denotes the type of data (location, speed, and destination) produced and broadcasted periodically by running vehicles. Increasingly, intelligent transportation systems take advantage of such data for prediction purposes as input to road and transit control and to discover useful mobility patterns with applications to...

Antecedents of big data quality: An empirical examination in financial service organizations

Big data has been acknowledged for its enormous potential. In contrast to the potential, in a recent survey more than half of financial service organizations reported that big data has not delivered the expected value. One of the main reasons for this is related to data quality. The objective of this research is to identify the antecedents of...

Governing Asset Management Data Infrastructures

Organizations are increasingly looking to trusted data to drive their decision making process. Trusted data has a clear, defined and consistent quality which meets the expectations of the user. Data infrastructures which produce trusted data and provide organizations with the capability to make the right decisions at the right time are socio...

Open data infrastructures: The design of an infrastructure to enhance the coordination of open data use

Governments and researchers traditionally focus on the publication of Open Government Data (OGD), whereas the actual use of the data is often neglected. Open data initiatives are often criticized for not realising the promoted benefits, yet only the use of OGD can result in these benefits. OGD use requires several actors, activities and tools;...

Participation and Data Quality in Open Data use: Open Data Infrastructures Evaluated

Infrastructures may improve the use of Open Government Data (OGD) by providing insight in how individuals can participate in data reuse and in the quality of open data. Yet, most OGD infrastructures do not support such activities. The objective of this paper is to evaluate the importance and usability of participation mechanisms and data quality...

Towards Modelling Data Infrastructures in the Asset Management Domain

More and more asset management organizations are relying on trusted data to drive their decision making process. Yet little systematic research has been performed regarding the generation of trusted data. Trusted data has a clear, defined and consistent quality which meets the expectations of the user. The aim of the research presented in this...

The effect of inaccurate traffic data for ramp metering: Comparing loop detectors and cameras using information utility

This paper introduces a topic which is of growing interest in the traffic control and management community, namely the relation between traffic data quality and the efficiency of traffic management. After some explanatory background and state of the art, it will become clear that no standard approach is available for traffic engineers to...

Trends in detecting changes from repeated laser scanning data

Change detection is an important application of laser scanning data. It is also a challenging application as errors that are inevitably present when determining the geometric state of a scene of interest in a certain epoch will somehow add up when comparing the geometric state between epochs. As a consequence it is often difficult to distinguish...

What is required to guarantee data quality for regional traffic management. Implementation of traffic data quality management in the Middle Netherlands

VERDER, a partnership of different governmental organizations in the Middle Netherlands, initiated different projects for regional traffic management to better use existing road capacity and safeguard mobility in the Middle Netherlands. This active form of traffic management requires traffic data with a certain quality level, although this is...

Facilitating Adoption of International Information Infrastructures: A Living Labs Approach

One of the key challenges that governments face in supervising international supply chains is the need for improving the quality of data accompanying the logistics flow. In many supply chains, individual parties in the chain work with low quality data for their operations and compliance, even though somewhere in the supply chain, better data is...