Data provenance

Abstract

The provenance of research data is of critical importance to the reproducibility of and trust in scientific results. As research infrastructures provide more amalgamated datasets for researchers and more integrated facilities for processing and publishing data, the capture of provenance in a standard, machine-actionable form becomes especially important. Significant progress has already been made in providing standards and tools for provenance tracking, but the integration of these technologies into research infrastructure remains limited in many scientific domains. Further development and collaboration are required to provide frameworks for provenance capture that can be adopted by as widely as possible, facilitating interoperability as well as dataset reuse. In this chapter, we examine the current state of the art for provenance, and the current state of provenance capture in environmental and Earth science research infrastructures in Europe, as surveyed in the course of the ENVRIplus project. We describe a service developed for the upload, dissemination and application of provenance templates that can be used to generate standardised provenance traces from input data in accordance with current best practice and standards. The use of such a service by research infrastructure architects and researchers can expedite both the understanding and use of provenance technologies, and so drive the standard use of provenance capture technologies in future research infrastructure developments.