Developing a Reference OntoUML Conceptual Model for Data Management Plans: Enhancing Consistency and Interoperability

Jana Martínková, Marek Suchánek, Robert Pergl

2024

Abstract

The growing significance of Data Management Plans (DMPs) has highlighted the need for standardized and accurate data management practices. Current DMPs often suffer from inconsistent terminology, leading to misunderstandings and reducing their effectiveness. This study proposes the development of a DMP OntoUML conceptual model to address these issues. The model aims to clearly define all relevant concepts and their relationships, ensuring consistency and interoperability, particularly by connecting with the FAIR principles OntoUML model. The research follows a structured approach: specifying necessary concepts using existing templates and ontologies, defining terms and their relationships within the OntoUML model, and verifying the model’s syntax. The resulting conceptual model will standardize terminology, promote interoperability, and support future DMP development and education.

Paper Citation

in Harvard Style

Martínková J., Suchánek M. and Pergl R. (2024). Developing a Reference OntoUML Conceptual Model for Data Management Plans: Enhancing Consistency and Interoperability. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD; ISBN 978-989-758-716-0, SciTePress, pages 159-166. DOI: 10.5220/0012940000003838

in Bibtex Style

@conference{keod24,
author={Jana Martínková and Marek Suchánek and Robert Pergl},
title={Developing a Reference OntoUML Conceptual Model for Data Management Plans: Enhancing Consistency and Interoperability},
booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD},
year={2024},
pages={159-166},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012940000003838},
isbn={978-989-758-716-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD
TI - Developing a Reference OntoUML Conceptual Model for Data Management Plans: Enhancing Consistency and Interoperability
SN - 978-989-758-716-0
AU - Martínková J.
AU - Suchánek M.
AU - Pergl R.
PY - 2024
SP - 159
EP - 166
DO - 10.5220/0012940000003838
PB - SciTePress