From Theory to Practice: A Data Quality Framework for Classification Tasks

The data preprocessing is an essential step in knowledge discovery projects. The experts affirm that preprocessing tasks take between 50% to 70% of the total time of the knowledge discovery process. In this sense, several authors consider the data cleaning as one of the most cumbersome and critical tasks. Failure to provide high data quality in the preprocessing stage will significantly reduce the accuracy of any data analytic project. In this paper, we propose a framework to address the data quality issues in classification tasks DQF4CT. Our approach is composed of: (i) a conceptual framework to provide the user guidance on how to deal with data problems in classification tasks; and (ii) an ontology that represents the knowledge in data cleaning and suggests the proper data cleaning approaches. We presented two case studies through real datasets: physical activity monitoring (PAM) and occupancy detection of an office room (OD). With the aim of evaluating our proposal, the cleaned datasets by DQF4CT were used to train the same algorithms used in classification tasks by the authors of PAM and OD. Additionally, we evaluated DQF4CT through datasets of the Repository of Machine Learning Databases of the University of California, Irvine (UCI). In addition, 84% of the results achieved by the models of the datasets cleaned by DQF4CT are better than the models of the datasets authors.This work has also been supported by: Project: “Red de formación de talento humano para la innovación social y productiva en el Departamento del Cauca InnovAcción Cauca”. Convocatoria 03-2018 Publicación de artículos en revistas de alto impacto. Project: “Alternativas Innovadoras de Agricultura Inteligente para sistemas productivos agrícolas del departamento del Cauca soportado en entornos de IoT - ID 4633” financed by Convocatoria 04C–2018 “Banco de Proyectos Conjuntos UEES-Sostenibilidad” of Project “Red de formación de talento humano para la innovación social y productiva en el Departamento del Cauca InnovAcción Cauca”. Spanish Ministry of Economy, Industry and Competitiveness (Projects TRA2015-63708-R and TRA2016-78886-C3-1-R)

Investigating the strategic relationship between information quality and e-government benefits

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel UniversityThis thesis focuses on investigating the relationship between improvements in information quality and the benefits and performance of e-Government organisations. As information quality is a multidimensional measure, it is very crucial to determine what aspects of it are critical to organisations to help them to devise effective information quality improvement strategies. These strategies are potentially capable of changing government organisational structures and business processes. To develop effective information quality improvement strategies, it is important to explore the relationships between information quality (‘cause’) and organisational benefits and performance (‘effect’). The limited research on information quality and organisations performance focuses on private sectors and pays little attention to governments and public organisations. To the best of the author’s knowledge, there is no single study which covers the relationships between information quality and organisations performance in Kuwait. E-Government success literature has rarely investigated information quality as a contributor to the success of e-Government initiatives. This thesis makes a step forward and contributes to the body of knowledge by examining the nature, direction and strength of the connections between information quality and the success of e-Government initiatives as it proposes and discusses a conceptual model (Figure 3.6) and contextual framework by means of which organisations performance and information quality research can be viewed. This thesis adopts a hypothetic-deductive and inductive approach with mixed methods, to conduct the present study. Quantitative and qualitative methods were then utilised to empirically validate the conceptual framework. The author claims that the relationships between information quality and strategic benefits along with institutional value were in upright agreement. Similarly, both qualitative and quantitative analyses highlighted that improvement in different aspects of information quality can lead to a better organisational image. Usability and usefulness attributes of information quality came on the top of the key influencers on both strategic benefits and institutional value. Furthermore, analyses highlighted some differences among information sharing participants’ views regarding the relationship between constructs investigated in this research. Figure 6.5 presents a revised research model including the new constructs, such as, cost savings, improved decision-making, and increased citizen satisfaction, which have been found to be affected by information quality and affect organisational performance.Public Authority of Applied Education

An Investigation into Knowledge Sharing in CrossProfessional Teams in Healthcare A Multi-Method, Qualitative Case Study Design

This research maps team types within a tertiary teaching hospital in Oman and deepens our understanding of the factors influencing KS in cross-professional teams with a focus on tacit knowledge. It maps the intersections between cross-professional teamwork and tacit knowledge, aiming to reconcile practice and evidence. A qualitatively driven exploratory multi-method design using a constructivist interpretivist approach. The research analysed 36 documents, 26 semi-structured interviews and 7 hybrid focus groups (HFGs) using participant-led creative exercises, the latter creating a non-traditional methodological approach to eliciting rich data. The data were integrated, and a thematic analysis applied to present a holistic exploration of the phenomena under study. This study contributes to understanding the factors affecting KS within crossprofessional teams in Oman. Tensions around team membership and KS between departments created unease for KS behaviours, but patient-centred care (PCC) was considered a unifying factor for teamwork and KS at every level. The use of HFGs allowed for the co-production of visual artefacts mapping KS and teamwork, creating rich data. These could be adapted for further research