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Chang, X.W. (author), Paige, C.C. (author), Tiberius, C.C.J.M. (author)When processing observational data, statistical testing is an essential instrument for rendering harmless incidental anomalies and disturbances in the measurements. A commonly used test statistic based on the general linear model is the generalized likelihood ratio test statistic. The standard formula given in the literature for this test...journal article 2005
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Arul Mary, M. (author)Data quality is often described as “data that is fit for use by data consumers”. The development of the internet and the various web technologies has increased the expectations of good data quality level among the data consumers. Web portals are meant to attract a wide variety of users and serve as an important means to access data in this...master thesis 2010
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Seelen, P.A.G. (author)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...master thesis 2012
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Klievink, A.J. (author), Lucassen, I. (author)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...conference paper 2013
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Seelen, P.A.G. (author), Vrancken, J.L.M. (author)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...conference paper 2013
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Klunder, G.A. (author), Taale, H. (author), Hoogendoorn, S.P. (author)There is a growing interest in the traffic community about the relation between traffic data quality and the efficiency of traffic management. Data collection is expensive and if the same level of traffic performance can be reached with less data or if traffic management becomes more efficient with better data, then that is interesting for a lot...conference paper 2013
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Zijdemans, M. (author)A research thesis into how to determine the influence of data quality on business performance using methodologies form the field of data uncertainty and data quality. A model is explained and validated which uses principles of probabilistic databases to show the uncertainty of information used in decisions. This uncertainty is based on the data...master thesis 2013
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Lindenbergh, R.C. (author)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...conference paper 2013
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Lidiansa, M. (author)This thesis goal is to identify, collect, analyze, and evaluate the quality metrics for a product master data; to allow quantifying and improve their value. In order to meet the main objective, this study needs to address these three questions: (1) What is the type of methodology that should be used to develop business-oriented data quality...master thesis 2014
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Klunder, G.A. (author), Taale, H. (author), Kester, L. (author), Hoogendoorn, S.P. (author)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...conference paper 2014
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Brous, P.A. (author), Herder, P.M. (author), Janssen, M.F.W.H.A. (author)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...journal article 2015
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Zuiderwijk-van Eijk, A.M.G. (author), Janssen, M.F.W.H.A. (author)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...conference paper 2015
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Zuiderwijk, A.M.G. (author)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;...doctoral thesis 2015
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Brous, P.A. (author), Herder, P.M. (author), Janssen, M.F.W.H.A. (author)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...journal article 2016
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Fardani Haryadi, A. (author)Big data has been widely known for its enormous potential in various industries, including finance. However, more than half of financial service organizations reported that big data has not delivered their expected value, yet. Among all, data quality is one of the issues behind this phenomenon, and thereby being the focus of this study. The...master thesis 2016
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Haryadi, Adiska Fardani (author), Hulstijn, Joris (author), Wahyudi, A. (author), van der Voort, H.G. (author), Janssen, M.F.W.H.A. (author)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...conference paper 2017
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Ledoux, H. (author), Arroyo Ohori, G.A.K. (author)Datasets produced by different countries or organisations are seldom properly aligned and contain several discrepancies (e.g., gaps and overlaps). This problem has been so far almost exclusively tackled by snapping vertices based on a user-defined threshold. However, as we argue in this paper, this leads to invalid geometries, is error-prone,...journal article 2017
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Kersten, Joris (author)In the light of the fourth industrial revolution, referred to as Industry 4.0, big data is becoming the key resource of modern companies. In order to safely harvest the potential benefits of the Industry 4.0, a high level of data quality is essential. Yet, modern companies experience poor data quality levels, mainly in human generated datasets....master thesis 2017
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Leeuwenburg, Frank (author)Product master data (PMD) can be defined as a set of data that represents a selection of characteristics and aspects of its accompanying physical product. For several reasons, these data sets are increasingly exchanged between organizations within supply chains. Although this process is traditionally often supported by non-automated technologies...master thesis 2017
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Pronk, Martijn (author)Data quality is essential in the modern world. The higher the quality of the data, the more information, knowledge and thereby wisdom can be retrieved. Besides better wisdom high quality data has another advantage: it can save costs since errors can be avoided. Low quality data is costing a lot of money to companies and will lead to information...master thesis 2017