Nano-PROV: FAIRification workflow for generating nanopublications based on provenance and semantic enrichment
by Matheus Pedra Puime Feijoó; Rodrigo Jardim; Sergio Manuel Serra da Cruz; Maria Luiza Machado Campos
International Journal of Metadata, Semantics and Ontologies (IJMSO), Vol. 16, No. 2, 2023

Abstract: Providing research data to be readable, accurate and understandable by human and autonomous computational agents is challenging, primarily if published on the web. We present Nano-PROV, a workflow-based approach that aims at semantic enrichment of data and provenance control of published research data sets. The workflow uses the nanopublications for data transformation, a reliable format for dynamically publishing research outputs. Further, Nano-PROV adopts UN-PROV, a unified provenance guideline centred on nanopublication for identifying and controlling data and workflow provenance. In this paper, we developed computational experiments to evaluate the workflow by generating a nano-pub data model based on the genomic scenario, showing how the proposal may circumvent various issues regarded with data reusability, interoperability, and discoverability issues. Compared with related works, our results demonstrated the feasibility of Nano-PROV to enhance the semantic expressivity of research data and its metadata annotations.

Online publication date: Tue, 05-Dec-2023

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