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

Raoul C.Y. Nuijten; Pieter Van Gorp

doi:10.5220/0010315503140321

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

Raoul C.Y. Nuijten, Pieter Van Gorp

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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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.

Original language	English
Title of host publication	Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD
Editors	Slimane Hammoudi, Luis Ferreira Pires, Edwin Seidewitz, Richard Soley
Publisher	SCITEPRESS-Science and Technology Publications, Lda.
Pages	314-321
Number of pages	8
ISBN (Electronic)	978-989-758-487-9
DOIs	https://doi.org/10.5220/0010315503140321
Publication status	Published - 2021
Event	9th International Conference on Model-Driven Engineering and Software Development - Online streaming, Vienna, Austria Duration: 8 Feb 2021 → 10 Feb 2021

Conference

Conference	9th International Conference on Model-Driven Engineering and Software Development
Country/Territory	Austria
City	Vienna
Period	8/02/21 → 10/02/21

Keywords

Graph database
Health behavior change
Metamodel
Scientific method
Software tool
Theory-building

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10.5220/0010315503140321

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Nuijten, R. C. Y., & Van Gorp, P. (2021). SciModeler: A Metamodel and Graph Database for Consolidating Scientific Knowledge by Linking Empirical Data with Theoretical Constructs. In S. Hammoudi, L. F. Pires, E. Seidewitz, & R. Soley (Eds.), Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD (pp. 314-321). SCITEPRESS-Science and Technology Publications, Lda.. https://doi.org/10.5220/0010315503140321

Nuijten, Raoul C.Y. ; Van Gorp, Pieter. / SciModeler: A Metamodel and Graph Database for Consolidating Scientific Knowledge by Linking Empirical Data with Theoretical Constructs. Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD. editor / Slimane Hammoudi ; Luis Ferreira Pires ; Edwin Seidewitz ; Richard Soley. SCITEPRESS-Science and Technology Publications, Lda., 2021. pp. 314-321

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booktitle = "Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD",

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Nuijten, RCY & Van Gorp, P 2021, SciModeler: A Metamodel and Graph Database for Consolidating Scientific Knowledge by Linking Empirical Data with Theoretical Constructs. in S Hammoudi, LF Pires, E Seidewitz & R Soley (eds), Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD. SCITEPRESS-Science and Technology Publications, Lda., pp. 314-321, 9th International Conference on Model-Driven Engineering and Software Development, Vienna, Austria, 8/02/21. https://doi.org/10.5220/0010315503140321

SciModeler: A Metamodel and Graph Database for Consolidating Scientific Knowledge by Linking Empirical Data with Theoretical Constructs. / Nuijten, Raoul C.Y.; Van Gorp, Pieter.

Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD. ed. / Slimane Hammoudi; Luis Ferreira Pires; Edwin Seidewitz; Richard Soley. SCITEPRESS-Science and Technology Publications, Lda., 2021. p. 314-321.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Nuijten RCY , Van Gorp P. SciModeler: A Metamodel and Graph Database for Consolidating Scientific Knowledge by Linking Empirical Data with Theoretical Constructs. In Hammoudi S, Pires LF, Seidewitz E, Soley R, editors, Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD. SCITEPRESS-Science and Technology Publications, Lda. 2021. p. 314-321 https://doi.org/10.5220/0010315503140321

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

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