Daniel L. Moody Graphical Entity Relationship Models: Towards a More User Understandable Representation of Data. [Citation Graph (4, 10)][DBLP] ER, 1996, pp:227-244 [Conf]
Daniel L. Moody, Graeme G. Shanks What Makes a Good Data Model? A Framework for Evaluating and Improving the Quality of Entity Relationship Models. [Citation Graph (1, 0)][DBLP] Australian Computer Journal, 1998, v:30, n:3, pp:97-110 [Journal]
Daniel L. Moody Cognitive Load Effects on End User Understanding of Conceptual Models: An Experimental Analysis. [Citation Graph (0, 0)][DBLP] ADBIS, 2004, pp:129-143 [Conf]
Daniel L. Moody Entity Connectivity vs. Hierarchical Levelling as a Basis for Data Model Clustering: An Experimental Analysis. [Citation Graph (0, 0)][DBLP] DEXA, 2003, pp:77-87 [Conf]
Daniel L. Moody Complexity effects on end user understanding of data models : An experimental comparison of large data model representation methods. [Citation Graph (0, 0)][DBLP] ECIS, 2002, pp:- [Conf]
Daniel L. Moody Validation of a method for representing large entity relationship models : An action research study. [Citation Graph (0, 0)][DBLP] ECIS, 2002, pp:- [Conf]
Daniel L. Moody Measuring the quality of data models: an empirical evaluation of the use of quality metrics in practice. [Citation Graph (0, 0)][DBLP] ECIS, 2003, pp:- [Conf]
Daniel L. Moody The method evaluation model: a theoretical model for validating information systems design methods. [Citation Graph (0, 0)][DBLP] ECIS, 2003, pp:- [Conf]
Daniel L. Moody Comparative Evaluation of Large Data Model Representation Methods: The Analyst's Perspective. [Citation Graph (0, 0)][DBLP] ER, 2002, pp:214-231 [Conf]
Daniel L. Moody Keynote Speech: Theoretical and Practical Issues in Evaluating the Quality of Conceptual Models. [Citation Graph (0, 0)][DBLP] ER (Workshops), 2002, pp:241-242 [Conf]
Daniel L. Moody The Seven Habits of Highly Effective Data Modelers (and Object Modelers). [Citation Graph (0, 0)][DBLP] OOER, 1995, pp:436-437 [Conf]
Daniel L. Moody Building links between IS research and professional practice: improving the relevance and impact of IS research. [Citation Graph (0, 0)][DBLP] ICIS, 2000, pp:351-360 [Conf]
Daniel L. Moody Dealing with Complexity in Information Systems Modeling: Development and Empirical Validation of a Method for Representing Large Data Models. [Citation Graph (0, 0)][DBLP] ICIS, 2003, pp:207-221 [Conf]
Daniel L. Moody A Decomposition Method for Entity Relationship Models: A Systems Theoretic Approach. [Citation Graph (0, 0)][DBLP] ICSTM, 2000, pp:- [Conf]
Daniel L. Moody Measuring information health: a planning and evaluation tool to support IRM practice. [Citation Graph (0, 0)][DBLP] IRMA Conference, 2000, pp:388-392 [Conf]
Daniel L. Moody Strategies for improving the quality of entity relationship models: a toolkit for practitioners. [Citation Graph (0, 0)][DBLP] IRMA Conference, 2000, pp:1043-1045 [Conf]
Daniel L. Moody Theoretical and practical issues in evaluating the quality of conceptual models: current state and future directions. [Citation Graph (0, 0)][DBLP] Data Knowl. Eng., 2005, v:55, n:3, pp:243-276 [Journal]