Ecore4PROV-DM: A Metamodel for Enhancing Data Provenance Adoption in Information Systems

Effective management of data provenance is essential in Information Systems, particularly for data-intensive applications. Despite the W3C PROV family of documents establishing a standard for representing provenance, integrating this information into software development processes remains a significant challenge. This paper addresses the problem by introducing the Ecore4PROV-DM metamodel, developed using Model-Driven Engineering techniques to align with the W3C PROV data model (PROV-DM). The metamodel's application is demonstrated through real-world scenarios, including the Urban Observatory project at Newcastle University. Evaluated using a subset of the Metamodel Quality Requirements and Evaluation (MQuaRE) framework, focusing on three key quality requirements, Ecore4PROV-DM exhibits high accuracy and completeness, making it a robust tool for provenance modeling. By bridging the gap between the conceptual richness of W3C PROV-DM and practical implementation needs, Ecore4PROV-DM facilitates precise provenance representation and seamless integration into diverse Information Systems.

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Journal
iSys - Brazilian Journal of Information Systems
Published
2024-12-26
DOI
https://doi.org/10.5753/isys.2024.4691
Primary Topic
Scientific Computing and Data Management
Type
article
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article

Ecore4PROV-DM: A Metamodel for Enhancing Data Provenance Adoption in Information Systems

Sérgio T. Carvalho, Marcos Alves Vieira, Gislainy Crisostomo Velasco
iSys - Brazilian Journal of Information Systems
Scientific Computing and Data Management
article

Ecore4PROV-DM: A Metamodel for Enhancing Data Provenance Adoption in Information Systems

Sérgio T. Carvalho, Marcos Alves Vieira, Gislainy Crisostomo Velasco
article en

Abstract

Effective management of data provenance is essential in Information Systems, particularly for data-intensive applications. Despite the W3C PROV family of documents establishing a standard for representing provenance, integrating this information into software development processes remains a significant challenge. This paper addresses the problem by introducing the Ecore4PROV-DM metamodel, developed using Model-Driven Engineering techniques to align with the W3C PROV data model (PROV-DM). The metamodel's application is demonstrated through real-world scenarios, including the Urban Observatory project at Newcastle University. Evaluated using a subset of the Metamodel Quality Requirements and Evaluation (MQuaRE) framework, focusing on three key quality requirements, Ecore4PROV-DM exhibits high accuracy and completeness, making it a robust tool for provenance modeling. By bridging the gap between the conceptual richness of W3C PROV-DM and practical implementation needs, Ecore4PROV-DM facilitates precise provenance representation and seamless integration into diverse Information Systems.

iSys - Brazilian Journal of Information SystemsVol. 17(1)
Instituto Federal Goiano (BR), Universidade Federal de Goiás (BR)
Openalex Percentile: Top 69%
Scientific Computing and Data Management
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Ecore4PROV-DM: A Metamodel for Enhancing Data Provenance Adoption in Information Systems — Sérgio T. Carvalho, Marcos Alves Vieira, et al. · iSys - Brazilian Journal of Information Systems (2024) | TGRS Research Map | TGRS