Defined source policy and recovery plan for CSV datasets

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Defined source policy and recovery plan for CSV datasets

  • Day: 2026-06-28
  • Time: 12:10 to 12:10
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: HIGH
  • Assignee: Matías Nehuen Iglesias
  • Tags: Csv, Data-Governance, Api-Recovery, Source-Policy, Etl, Annotation

Description

Session Goal

Establish a reproducible data-management approach for investment/project datasets, while diagnosing a failed World Bank API extraction and clarifying how raw CSV sources should be governed for downstream annotation and analysis.

Key Activities

  • Proposed a two-layer workflow for CSV inventory work: first build a technical inventory of existing CSV files, then define a source policy that replaces legacy inputs with reproducible, versioned downloads.
  • Drafted a canonical source architecture for development-finance datasets, distinguishing:
    • canonical treatment-ready sources,
    • legacy/discovery inputs,
    • spatial enrichment sources,
    • and sector-specific extensions.
  • Recommended freezing legacy files and prioritizing authoritative sources such as AidData China CLG LMIC v1.0 and World Bank API metadata, with IATI/OECD/ADB/AfDB/AIIB/PPI only after coverage and geocoding audits.
  • Defined a reproducible raw-ingestion workflow: immutable raw downloads, checksum logging, source metadata capture, and staged separation between raw, interim, and processed layers.
  • Diagnosed a World Bank API failure as a server-side 500 on page os=3500, explaining that the missing CSV was a downstream consequence rather than a separate file error.
  • Outlined a recovery plan: inspect disk usage, remove reproducible heavy assets safely, reconstruct partial output from downloaded pages, and replace the pull script with a resumable, error-tolerant version.
  • Proposed a source-neutral audit and annotation contract so AI-assisted project annotation can operate across AidData and World Bank data without source-specific logic.

Achievements

  • Clarified the root cause of the failed API pull and separated it from the missing-file symptom.
  • Established a coherent policy direction for raw-folder governance, source selection, and reproducibility.
  • Framed annotation as a shared source-to-schema contract rather than a final dataset, which should reduce ambiguity in later processing.

Pending Tasks

  • Build the actual CSV inventory and classify legacy vs canonical files.
  • Implement the raw download/checksum/metadata pipeline.
  • Resume or rewrite the World Bank API pull with resumable error handling.
  • Perform disk-space triage and reconstruct any partial CSV outputs if needed.
  • Define the concrete source-to-schema mapping for annotation inputs.

Evidence

  • source_file=2026-06-28.sessions.jsonl, line_number=5, event_count=0, session_id=e21bf8aa2f6dbca021f488a7401f529155512ee24f2130edca3b08f4b660d7d3
  • event_ids: []

Graph View

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