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Re-thinking Workflow Provenance against Data-Oriented Investigation Lifecycle
2014.
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Abstract
This report is the first installment of a two-part knowledge transfer. In this first part we introduce the status quo and issues, (with underlying reasons and remedies) in exploiting provenance information. The second report will provide details on approaches and techniques that can help towards increased use of provenance information.We start by revisiting the workflow provenance capabilities of the Taverna system, and the provenance-related information needs during stages of workflow- based scientific investigations. We look at the characteristics of workflow provenance that obstruct its pervasive use throughout the investigation lifecycle, and the current mechanisms that are devised as remedies.We briefly introduce a framework, in which we investigate techniques for abstraction and annotation of workflow provenance. We introduce Workflow Motifs, a domain-independent categorization workflow activities, a pillar upon which our provenance abstraction techniques are built.We conclude the report with a set of recommendations on provenance capabilities of Taverna tooling that would provide food for thought for the development team.