SciModeler: A Metamodel and Graph Database for Consolidating Scientific Knowledge by Linking Empirical Data with Theoretical Constructs

Raoul Nuijten, Pieter Van Gorp

Abstract

An important purpose of science is building and advancing general theories from empirical data. This process is complicated by the immense volume of empirical data and scientific theories in some fields. Particularly, the systematic linking of empirical data with theoretical constructs is currently lacking. Within this article, we propose a prototypical solution (i.e., a metamodel and graph database) for consolidating scientific knowledge by linking theoretical constructs with empirical data. We conducted a case study within the field of health behavior change where the system is used to record three scientific theories and three empirical studies as well as their mutual links. Finally, we demonstrate how the system can be queried to accumulate knowledge.

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Paper Citation


in Harvard Style

Nuijten R. and Van Gorp P. (2021). SciModeler: A Metamodel and Graph Database for Consolidating Scientific Knowledge by Linking Empirical Data with Theoretical Constructs.In Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-487-9, pages 314-321. DOI: 10.5220/0010315503140321


in Bibtex Style

@conference{modelsward21,
author={Raoul Nuijten and Pieter Van Gorp},
title={SciModeler: A Metamodel and Graph Database for Consolidating Scientific Knowledge by Linking Empirical Data with Theoretical Constructs},
booktitle={Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},
year={2021},
pages={314-321},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010315503140321},
isbn={978-989-758-487-9},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - SciModeler: A Metamodel and Graph Database for Consolidating Scientific Knowledge by Linking Empirical Data with Theoretical Constructs
SN - 978-989-758-487-9
AU - Nuijten R.
AU - Van Gorp P.
PY - 2021
SP - 314
EP - 321
DO - 10.5220/0010315503140321