Projects at the Business Informatics Group

Research within the Business Informatics Research Group can be summarized as an 'action research' and 'design science' approach. Our research is characterised by intensive interaction, collaboration and knowledge exchange with Enterprises. Our researchers work closely together with organisations. Research teams address, based on a well-defined project plan, specific research subjects in Business Informatics and Information Systems. The BIGroup is also invovled in serveral National and European funded research projects. We also support the Enterprise Ireland Innovation Voucher Initiative as possible Knowledge Provider.

If you are interested to collaborate or initiate a new research project, please contact us at bigroup@computing.dcu.ie.




DataGuard: A Data Quality tool for Discovering and Designing Data Quality Rules
Data quality is an increasing concern for most businesses. High quality data helps the data owner to save costs, to make better decisions and to improve customer service. In our research we developed a methodology and a tool for analysing data quality in large corporate databases. In this project we apply a user-centric and graphical based approach in designing data quality rules. This feature can be combined with our data quality analysing tool. The resulted tool will help declaring data quality rules with a simple and user friendly visualising concept.





Research Contact: Dr. Markus Helfert

Relationshiop Analytics:
We developed a novel approach that leverages relationships between customers to manage customer relationships more effectively.
How Does it Work? The solution leverages relationship data such as phone calls, bank transactions, emails and other communications. Our Relationship Analytics approach and technique help to determine information diffusion and influence within the network. We are able to analyse and visualize very large relationship networks. Research Contact: Dr. Markus Helfert



Information Quality Assessment and Effects on Inventory Decision-Making: Information quality has become a critical concern to the success of organisations. Previous research indicated that understanding the effects of information quality is critical to the success of organisations. However, little research has been done to analyse the effects of information quality in an organisational context. The objective of this project is to systematically analyse the effects of information quality on decision-making in organisations. Within in this project we have developed a simulation and analysis environment as software tool.

Research Contact: Dr. Mouzhi Ge

Learning Analytics Frameworks: Analytics and other business intelligence approaches are being increasingly deployed in education. As compared to other areas of informatics, methodologies and frameworks for analytics are under-developed. In the education context there are specific factors and challenges. This research aims to address these issues by developing and testing a framework for learning analytics.

Research Contact: Phelim Murnion

Assessment Instruments to Determine the Quality of Information Exchanges Inter-organizational information exchange becomes an important topic in information quality (IQ) studies. Despite the significance of information exchange approaches to evaluate the quality of the exchanged information is lacking. Historically, IQ management emphasizes at low level data analysis, based on statistical analysis. Most of the approaches to date do not consider process and context information. To address this limitation, we propose an IQ assessment instrument that brings focus away from the inherent data repository level towards an enterprise level by deploying the business process concept.

Research Contact: Shuyan Xie

Data Quality Management in Semantic Web: with the development of semantic technologies, a huge amount of data is being published on Semantic Webs forming a "Web of Data". New research challenges have been identified such as ontology-based or provenance-based data quality management. To further explore data quality approaches in Semantic Web, the objective of this project is to merge Semantic Web and Data Quality communities and find more research opportunities to address data quality issues with semantic technologies.

Research Contact: Dr. Mouzhi Ge

Information Quality and the Context of Information Systems: This research is examining the effect of evolving Information Systems (IS) contexts on the definition, assessment and improvement of Information Quality (IQ). The wide acceptance by many organisations of IQ presents the challenge of implementing IQ frameworks and procedures in dynamic IS environments. In particular we examine the relationship between changing IS context and individual IQ dimensions. Our experiments and qualitative research indicate that the dynamic nature of IS context does impact on IQ. A methodology to cater for this dynamic and optimise IQ frameworks and procedures has been presented and is undergoing refinement.

Research Contact: Dr. Owen Foley

Business Value of Enterprise Architecture This research aims to overcome the current challenges in elaborating the benefits and impact of Enterprise Architecture (EA) in terms of business value. In addition, this work aligns with the EA maturity assessments conducted with the IT-CMF developed by the Innovation Value Institute (IVI).

Research Contact: Martin Meyer

Information Quality in a Healthcare Context Improving information quality is fast becoming a significant issue for healthcare providers, managers and government departments as information quality problems are often associated with high costs. In recent years, organizations have realized that information quality management is of critical importance as the way to achieve long-term business success. Yet, many organizations find it difficult to implement an effective information quality training plan and guidelines. This research aims to identify predictors of information quality using a design science approach to create guidlines and thereby, provide a usable and workable solution.

Research Contact: Dr. Mary Levis

Construction, evaluation and configuration of a research process to design IT-Management processes In this project we address the lack of detailed Design Science Research Methodologies that are often not detail enough to provide researchers with systematic guidelines. We aim to provide a meta-process model, which will lead researchers through design activities. The model covers Initial Scope, Literature Review, Engagement Scholarship, and Modelling. The model will be applied and validated via case studies ranging a variety of IT Management processes.

Research Contact: Lukasz Ostrowski

Timely detection of Information Quality Problems and its Impact on Organisations While there have been many contributions to improve data and information qualityit has not yet been possible to eliminate IQ problems. As IQ problems occur, there is usually a gap between the time when IQ problem occurs and the time when IQ problem is recognized. In this research we study the relationship of timely discovery of IQ problem on the impact resulting from the IQ problem. We also develop a method for reducing the lead time for IQ problem detection.

Research Contact: Fakir Hossain

Timely detection of Information Quality Problems and its Impact on Organisations While there have been many contributions to improve data and information qualityit has not yet been possible to eliminate IQ problems. As IQ problems occur, there is usually a gap between the time when IQ problem occurs and the time when IQ problem is recognized. In this research we study the relationship of timely discovery of IQ problem on the impact resulting from the IQ problem. We also develop a method for reducing the lead time for IQ problem detection.

Research Contact: Fakir Hossain

Some current and previous projects include:

  • Predictive Modelling and Relationship Analytics (Enterprise Ireland Innovation Partnership) (2008/2010)
  • Information Search using collaborative classification and case based reasoning (Third-Party Company Funding) (2007/2009)
  • IASDO Model to Manage Information Quality (Enterprise Ireland Commercialization Fund) (2007/2008)
  • Managing Information Quality in Organisations (Enterprise Ireland International Collaboration Fund) 2004/2005
  • Information Quality in Nursing Care (IRCSET Postgraduate Research Scholarship) (2004/2005)
  • European Thematic Network for Teaching, Research and Innovations in Computing Education ( ETN TRICE) (2009-2012). The general objectives of the network are to promote the "knowledge triangle" of education, research and innovations, to apply it in the field of "Computing Education and Training", to establish the principles of effective high quality relationships between teaching, research and innovation.
  • Business Informatics BIN-Net Summer School (2007-2008) An Intensive Programme funded under the EU Lifelong Learning Programme aims to offering a platform for the dynamic evaluation and further development of the Business Informatics course material. Students and teachers from different social and cultural backgrounds gain the possibility to exchange directly information and give feedback in a multi-national environment. (Project Coordinator: Prof. Dimitris Karagiannis)
  • Student Learning Agreements in computing (2006-2007) Supported by the DCU Student Learning Agreements fund, this project support the introduction of Student Learning Agreements by developing a new software system that will include an online system for Personal Tutors. The system provides each tutor with a detailed data mining visualisation profile of each student based on all currently available data such as continuous assessment and examination results, attendance figures, qualitative feedback from their lab tutors etc.
  • Individualized Learning Scorecards (2006) Supported by DCU Learning Innovation Fund this project developed and implemented a trial course for a problem based scenario within one of our undergraduate courses
  • BIN-Net: Business Informatics Network in Common Europe (2004-2007) The project involves ten cooperating universities in eight countries and is coordinated by the University of Vienna, Institute for Knowledge and Business Engineering. The project is funded under the SOCRATES / ERASMUS Programme by the European Commission. It aims to develop a Joint-Master Degree in Business Informatics in Europe and to develop a common curriculum that supports teachers and student mobility. (Project Coordinator: Prof. Dimitris Karagiannis)
  • ETN DEC: European Thematic Network for Doctoral Education in Computing (2004-2007) The main goal of the Project is to help acknowledge doctoral studies as an important "third" cycle of education, to define a framework for increasing the quality of all doctoral studies and to develop tools and methods for assessment, validation and certification of the knowledge and skills of PhD students. The overall objectives of the network are to establish the principles of effective and high quality, Europe-valid doctoral studies and to create the tools for doing this through analysing the existing systems, exchanging experiences and disseminating good practices among all partners. (Project Coordinator: Prof. Angel Smrikarov)
  • ChaseTown: Community health and social environment (2004-2005) Supported by the DCU Teaching & Learning Fund and developed by the School of Nursing in Dublin City University CHASETown is a pilot project for e-learning and mixed mode delivery for nurse education and training. Developed within Moodle, CHASETown is a virtual learning environment, which mimics the real world with patient / client case studies and scenarios. (Project Coordinator: Pamela Henry)