What Makes a Good Data Model? Evaluating the Quality of Entity Relationship Models. - Daniel L. Moody; Graeme G. Shanks (ER, 1994)

The Seven Habits of Highly Effective Data Modelers (and Object Modelers). - Daniel L. Moody (OOER, 1995)

Graphical Entity Relationship Models: Towards a More User Understandable Representation of Data. - Daniel L. Moody (ER, 1996)

A Multi-Level Architecture for Representing Enterprise Data Models. - Daniel L. Moody (ER, 1997)

Metrics for Evaluating the Quality of Entity Relationship Models. - Daniel L. Moody (ER, 1998)

Improving the Quality of Entity Relationship Models - Experience in Research and Practice. - Daniel L. Moody; Graeme G. Shanks; Peta Darke (ER, 1998)

What Makes a Good Data Model? A Framework for Evaluating and Improving the Quality of Entity Relationship Models. - Daniel L. Moody; Graeme G. Shanks (Aust. Comput. J., 1998)

Improving the Quality of Entity Relationship Models: An Action Research Programme. - Daniel L. Moody; Graeme G. Shanks (Aust. Comput. J., 1998)

Measuring the Value Of Information - An Asset Valuation Approach. - Daniel L. Moody; Peter Walsh (ECIS, 1999)

A Methodology for Clustering Entity Relationship Models - A Human Information Processing Approach. - Daniel L. Moody; Andrew Flitman (ER, 1999)

From enterprise models to dimensional models: a methodology for data warehouse and data mart design. - Daniel L. Moody; Mark A. R. Kortink (DMDW, 2000)

Building links between IS research and professional practice: improving the relevance and impact of IS research. - Daniel L. Moody (ICIS, 2000)

A Decomposition Method for Entity Relationship Models: A Systems Theoretic Approach. - Daniel L. Moody (ICSTM, 2000)

Measuring information health: a planning and evaluation tool to support IRM practice. - Daniel L. Moody (IRMA Conference, 2000)

Strategies for improving the quality of entity relationship models: a toolkit for practitioners. - Daniel L. Moody (IRMA Conference, 2000)

Complexity effects on end user understanding of data models : An experimental comparison of large data model representation methods. - Daniel L. Moody (ECIS, 2002)

Validation of a method for representing large entity relationship models : An action research study. - Daniel L. Moody (ECIS, 2002)

Comparative Evaluation of Large Data Model Representation Methods: The Analyst's Perspective. - Daniel L. Moody (ER, 2002)

Keynote Speech: Theoretical and Practical Issues in Evaluating the Quality of Conceptual Models. - Daniel L. Moody (ER (Workshops), 2002)

Evaluating the Quality of Process Models: Empirical Testing of a Quality Framework. - Daniel L. Moody; Guttorm Sindre; Terje Brasethvik; Arne Sølvberg (ER, 2002)

Real World Testing of a Method for "Modularising" Large Data Models: An Action Research Programme. - Daniel L. Moody (ACIS, 2003)

From ER Models to Star Schemas: Mapping From Operational Databases to Data Warehouse Designs. - Daniel L. Moody; Mark A. R. Kortink (ACIS, 2003)

Managing Complexity in Object Oriented Analysis: Adapting UML for Modelling Large Scale Information Systems. - Daniel L. Moody; Guttorm Sindre (ACIS, 2003)

Entity Connectivity vs. Hierarchical Levelling as a Basis for Data Model Clustering: An Experimental Analysis. - Daniel L. Moody (DEXA, 2003)

Measuring the quality of data models: an empirical evaluation of the use of quality metrics in practice. - Daniel L. Moody (ECIS, 2003)

The method evaluation model: a theoretical model for validating information systems design methods. - Daniel L. Moody (ECIS, 2003)

Evaluating the effectiveness of learning interventions: an information systems case study. - Daniel L. Moody; Guttorm Sindre (ECIS, 2003)

Representing things and properties in conceptual modelling: an empirical evaluation. - Graeme G. Shanks; Jasmina Nuredini; Daniel Tobin; Daniel L. Moody; Ron Weber 001 (ECIS, 2003)

Dealing with Complexity in Information Systems Modeling: Development and Empirical Validation of a Method for Representing Large Data Models. - Daniel L. Moody (ICIS, 2003)

Evaluating the Quality of Information Models: Empirical Testing of a Conceptual Model Quality Framework. - Daniel L. Moody; Guttorm Sindre; Terje Brasethvik; Arne Sølvberg (ICSE, 2003)

Incorporating quality assurance processes into requirements analysis education. - Daniel L. Moody; Guttorm Sindre (ITiCSE, 2003)

Using the World Wide Web to Connect Research and Professional Practice: Towards Evidence-Based Practice. - Daniel L. Moody (Informing Sci. Int. J. an Emerg. Transdiscipl., 2003)

Improving the quality of data models: empirical validation of a quality management framework. - Daniel L. Moody; Graeme G. Shanks (Inf. Syst., 2003)

Introducing Peer Review in an IS Analysis Course. - Guttorm Sindre; Daniel L. Moody; Terje Brasethvik; Arne Sølvberg (J. Inf. Syst. Educ., 2003)

Cognitive Load Effects on End User Understanding of Conceptual Models: An Experimental Analysis. - Daniel L. Moody (ADBIS, 2004)

Theoretical and practical issues in evaluating the quality of conceptual models: current state and future directions. - Daniel L. Moody (Data Knowl. Eng., 2005)

Assessing the capability of internal metrics as early indicators of maintenance effort through experimentation. - Marcela Genero Bocco; Daniel L. Moody; Mario Piattini (J. Softw. Maintenance Res. Pract., 2005)

Desperately Avoiding Bureaucracy: Modularity as a Strategy for Organisational Innovation. - Johan te Winkel; Daniel L. Moody; Chintan Amrit (ECIS, 2008)

Evaluating the Visual Syntax of UML: An Analysis of the Cognitive Effectiveness of the UMLFamily of Diagrams. - Daniel L. Moody; Jos van Hillegersberg (SLE, 2008)

Panel: IS PhD research in the 21st century: A tale of candidates and their supervisors. - Frédéric Adam; Sven A. Carlsson; Ralph Sprague; David Sammon; Graeme G. Shanks; Daniel L. Moody; Christina Keller (ECIS, 2009)

Improving the Effectiveness of Visual Representations in Requirements Engineering: An Evaluation of i* Visual Syntax. - Daniel Laurence Moody; Patrick Heymans; Raimundas Matulevicius (RE, 2009)

The “Physics” of Notations: Toward a Scientific Basis for Constructing Visual Notations in Software Engineering. - Daniel L. Moody (IEEE Trans. Software Eng., 2009)

In Search of Paradigms: Identifying the Theoretical Foundations of the IS Field. - Daniel L. Moody; Maria-Eugenia Iacob; Chintan Amrit; Roland Müller (ECIS, 2010)

The "physics" of notations: a scientific approach to designing visual notations in software engineering. - Daniel L. Moody (ICSE (2), 2010)

Representing Classes of Things and Properties in General in Conceptual Modelling: An Empirical Evaluation. - Graeme G. Shanks; Daniel L. Moody; Jasmina Nuredini; Daniel Tobin; Ron Weber 001 (J. Database Manag., 2010)

Visual syntax does matter: improving the cognitive effectiveness of the i* visual notation. - Daniel Laurence Moody; Patrick Heymans; Raimundas Matulevicius (Requir. Eng., 2010)

Towards a More Semantically Transparent i* Visual Syntax. - Nicolas Genon; Patrice Caire; Hubert Toussaint; Patrick Heymans; Daniel Laurence Moody (REFSQ, 2012)

Visual notation design 2.0: Towards user comprehensible requirements engineering notations. - Patrice Caire; Nicolas Genon; Patrick Heymans; Daniel Laurence Moody (RE, 2013)