II.
Workflow overview
Reference · liveworkflow:research-notebook-reproducibility
Research Notebook Reproducibility overview
Ensures Jupyter and Quarto research notebooks reproduce results end-to-end — validating that all cells execute in sequence without manual intervention, pinning dependency versions and data snapshot timestamps, verifying numerical outputs match documented results within tolerance, checking random seed determinism across runs, and archiving reproducible notebook bundles with frozen data slices. Produces reproducibility attestation reports and identifies cells requiring manual data access or external API calls. Excludes original research content creation.
Attributes
displayName
Research Notebook Reproducibility
workflowKind
governance
triggerType
event-driven
typicalCadence
per-publication
complexity
moderate
description
Ensures Jupyter and Quarto research notebooks reproduce results
end-to-end — validating that all cells execute in sequence without
manual intervention, pinning dependency versions and data snapshot
timestamps, verifying numerical outputs match documented results
within tolerance, checking random seed determinism across runs, and
archiving reproducible notebook bundles with frozen data slices.
Produces reproducibility attestation reports and identifies cells
requiring manual data access or external API calls. Excludes original
research content creation.
Outgoing edges
applies_to_domain2
- domain:quantitative-finance·DomainQuantitative Finance
- domain:data-science·DomainData Science
involves_role2
- role:quantitative-analyst·RoleQuantitative Analyst
- role:research-analyst·RoleResearch Analyst
performed_by_org_unit1
- org-unit:quant-research·OrgUnitQuant Research
requires_skill_area1
- skill-area:python-data-pipelines·SkillAreaPython Data Pipelines
triggers_responsibility1
- responsibility:research-publication·ResponsibilityResearch publication
Incoming edges
None.