Towards a human-in-the-loop curation: A qualitative perspective

Abstract

This paper proposes a data curation environment to record, maintain, and enrich research data using quantitative and qualitative methodologies. The research addresses the following research questions: What is research data curation from a hybrid perspective? and What software tools are adapted for hybrid research projects? The paper also proposes a hybrid research workflow representing the phases of projects adopting this kind of methodology towards a human-in-the-loop approach. It introduces a view model to represent the data produced across its stages, which should be curated. Finally, proposes a set of operators to manage and explore the different versions of curated data and their associated knowledge.