Longitudinal Audit of an Open Research Workflow Across Scholarly Infrastructures

This study examines how a publicly documented open research workflow is represented, linked, versioned, and monitored across independently operated scholarly infrastructures. The focal case is the Life Science Knowledge Workflow, associated with WorkflowHub record 2347, version 2. The study examines eight predefined infrastructure layers: source repositories, workflow registries, archival repositories, identifier registration and resolution services, source-preservation services, workflow testing and monitoring services, researcher-attribution services, and scholarly discovery and aggregation services. Records will be included only when exact identifiers or documented provenance relationships support their association with the focal workflow. Independent software assets within the same research ecosystem will not automatically be treated as components of the focal workflow. The research adopts a longitudinal descriptive observational case-study design. It separates historical evidence from three prospective observation waves and examines workflow identity, version lineage, metadata consistency, provenance relationships, timestamped changes, infrastructure states, and unresolved cross-platform discrepancies. The expected outcomes are a reproducible cross-infrastructure evidence map, a timestamped record of observable identity and metadata changes, and a bounded assessment of the capabilities and limitations of existing scholarly infrastructure. The study does not infer causal relationships or claim that registration, archival availability, passing tests, researcher attribution, or public discovery independently establish scientific validity, institutional endorsement, adoption, or universal reproducibility.