Introduction

Computational provenance is a record of all the steps in a computational scientific workflow, including the code that was run, input data, the computational environment (hardware, OS, compiler versions, library version...), and output data.

Capturing computational provenance facilitates:

• reproducibility of results
• management and tracking of workflows/projects by the scientists/engineers involved
• evaluation/review by other scientists and engineers

Standards

Information about the W3C PROV ontology and related tools

Storage of provenance in the Knowledge Graph

Tools for automated capture of provenance

• on different systems:
  • HPC systems
  • neuromorphic systems
  • Jupyter notebooks
  • users' own computers
• prospective/pre-emptive vs run-time provenance capture
• capture of metadata vs capture of artefacts

Communication between computer systems and the KG

• local cache and synchronization?

User interfaces for browsing, visualizing, and searching provenance information