Project Management Information System Data Model Development and Explanation

Filippo Ottaviani, Massimo Rebuglio, Alberto De Marco

2023

Abstract

The Project Management (PM) discipline is evolving towards the adoption of digital technologies, which are to be integrated into a project management information system (PMIS). Despite the fact that many PMIS solutions are already available, there is no standard data model for PMIS development, nor is the logic underlying PMIS. Therefore, organizations struggle to integrate other business applications into the PMIS and cannot leverage the data collected to improve both project management and execution. To address these issues, this paper aims to provide a standard PMIS model as a foundation for database design and software development. The PM objects are first identified and then represented in a data model that outlines their attributes and methods and the relationships between the classes. All classes are structured to accommodate in their interface the core PM processes, such as task and resource management, project scheduling, risk management, and progress control. The study evaluates the impact and benefits of implementing this standard model while acknowledging its limitations and providing recommendations for practical implementation.

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Paper Citation


in Harvard Style

Ottaviani F., Rebuglio M. and De Marco A. (2023). Project Management Information System Data Model Development and Explanation. In Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH; ISBN 978-989-758-668-2, SciTePress, pages 210-217. DOI: 10.5220/0012052200003546


in Bibtex Style

@conference{simultech23,
author={Filippo Ottaviani and Massimo Rebuglio and Alberto De Marco},
title={Project Management Information System Data Model Development and Explanation},
booktitle={Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH},
year={2023},
pages={210-217},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012052200003546},
isbn={978-989-758-668-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH
TI - Project Management Information System Data Model Development and Explanation
SN - 978-989-758-668-2
AU - Ottaviani F.
AU - Rebuglio M.
AU - De Marco A.
PY - 2023
SP - 210
EP - 217
DO - 10.5220/0012052200003546
PB - SciTePress