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Batini, C.1
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0001827054
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User Viewpoint Modelling: Understanding and Representing User Viewpoints during Requirements Definition
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DARKE, P. and SHANKS, G. (1997): User Viewpoint Modelling: Understanding and Representing User Viewpoints During Requirements Definition, Information Systems Journal 7:213-239.
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Information Systems Journal
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Darke, P.1
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0343643181
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A Model for Delivering Quality Information as Product and Service
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Massachusetts Institute of Technology
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KAHN, B., STRONG, D.M. and WANG, R.Y. (1997): A Model for Delivering Quality Information as Product and Service, Proceedings of the 1997 Conference on Information Quality, Massachusetts Institute of Technology 80-94.
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Proceedings of the 1997 Conference on Information Quality
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Towards a Deeper Understanding of Quality in Requirements Engineering
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Jyvaskyla, Finland, June
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Krogstie, J.1
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Understanding Quality in Conceptual Modelling
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IEEE Software
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What Makes a Good Data Model? A Framework for Evaluating and Improving the Quality of Entity Relationship Models
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forthcoming August
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MOODY, D.L. and SHANKS, G.G. (1998a): What Makes A Good Data Model? A Framework for Evaluating and Improving the Quality of Entity Relationship Models, forthcoming in Australian Computer Journal, August 30(3):97-110
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Australian Computer Journal
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Moody, D.L.1
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Improving the Quality of Entity Relationship Models - Experience in Research and Practice
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forthcoming Singapore November
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MOODY, D.L., SHANKS, G. and DARKE, P. (1998b): Improving the Quality of Entity Relationship Models - Experience in Research and Practice, forthcoming in International Conference on Conceptual Modelling, Singapore November.
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International Conference on Conceptual Modelling
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Moody, D.L.1
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The Impact of Poor Data Quality on the Typical Enterprise
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Conceptual Data Modelling: An Empirical Study of Expert and Novice Data Modellers
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SHANKS, G. (1997): Conceptual Data Modelling: An Empirical Study of Expert and Novice Data Modellers, Australian Journal of Information Systems, 4(2):63-73.
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Australian Journal of Information Systems
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Shanks, G.1
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Quality in Conceptual Modelling: Linking Theory and Practice
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Brisbane, Queensland University of Technology May
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SHANKS, G. and DARKE, P. (1997): Quality in Conceptual Modelling: Linking Theory and Practice, Proc. Pacific Asia Conference on Information Systems, Brisbane, Queensland University of Technology May 805-814.
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Shanks, G.1
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0343643179
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Data Warehousing: A Preliminary Field Study
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University of South Australia, Adelaide
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SHANKS, G., O'DONNELL, P. and ARNOTT, D. (1997): Data Warehousing: A Preliminary Field Study, Proc. 8th Australasian Conference on Information Systems, University of South Australia, Adelaide, 350-365.
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Proc. 8th Australasian Conference on Information Systems
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Shanks, G.1
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Data Quality in Context
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STRONG, D.M., LEE, Y.W. and WANG, R.Y. (1997): Data Quality in Context, Communications of the ACM, 40(5):103-110.
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Communications of the ACM
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Strong, D.M.1
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Theoretical Foundations for Conceptual Modelling in Information Systems Development
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WAND, Y. MONARCHI, D.E., PARSONS, J., WOO, C.C. (1995): Theoretical Foundations for Conceptual Modelling in Information Systems Development, Decision Support Systems 15:285-304.
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Decision Support Systems
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Wand, Y.1
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Beyong Accuracy: What Data Quality Means to Data Consumers
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WANG, Y. and STRONG, D.M. (1996): Beyong Accuracy: What Data Quality Means to Data Consumers, Journal of Management Information Systems 12(4):5-34.
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Journal of Management Information Systems
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Anchoring Data Quality Dimensions in Ontological Foundations
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WAND, Y. and WANG, R. (1996): Anchoring Data Quality Dimensions in Ontological Foundations, Communications of the ACM 39(11):86-95.
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Communications of the ACM
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WANG, R.Y. (1998): A Product Perspective on Total Data Quality Management, Communications of the ACM 41(2):58-65.
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Communications of the ACM
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Wang, R.Y.1
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