MARATTO

other · Open MIND

Africa's Scientific Contribution to the Sustainable Development Goals (2015–2025): Auditable Bibliometric Pipeline and Analysis Artefacts

Abstract

PIPELINE PROVENANCE SUMMARY============================================================Generated : 2026-05-18 13:40 UTCArticle : Africa's Scientific Contribution to the SDGs (2015-2025)Author : El Majjaoui, A. (ENSAH, Abdelmalek Essaadi University) STAGE 1 — QUERY SPECIFICATION------------------------------------------------------------Framework : Aurora Network SDG Queries v5.0.3 DOI: 10.5281/zenodo.488325017 SDG queries processed with wildcard cleaning rules A-G.Total characters after cleaning : 72,525Total transformations applied : 1507 STAGE 2 — DATA ACQUISITION------------------------------------------------------------Source : Scopus Advanced Search (institutional access)Date : 2026-05-08 (all 17 SDGs)Scope : 54 African Union member states (AFFILCOUNTRY filter)Raw records : 599,370 across 41 CSV export files Per-SDG record counts: SDG01 No Poverty 23,941 SDG02 Zero Hunger 23,941 SDG03 Good Health and Well-being 69,360 SDG04 Quality Education 27,604 SDG05 Gender Equality 14,857 SDG06 Clean Water and Sanitation 45,369 SDG07 Affordable and Clean Energy 19,932 SDG08 Decent Work and Economic Growth 18,189 SDG09 Industry, Innovation and Infrastructure 37,538 SDG10 Reduced Inequalities 14,160 SDG11 Sustainable Cities and Communities 27,412 SDG12 Responsible Consumption and Production 69,448 SDG13 Climate Action 54,190 SDG14 Life Below Water 18,187 SDG15 Life on Land 64,130 SDG16 Peace, Justice and Strong Institutions 30,486 SDG17 Partnerships for the Goals 40,626 STAGE 3 — CLEANING------------------------------------------------------------ Input records : 599,370 Removed (DOI exact match) : 254,171 (42.41%) Removed (fuzzy title) : 6,790 (1.13%) Unique records retained : 338,409 STAGE 4 — ENRICHMENT------------------------------------------------------------ Thesaurus entries total : 169 Multi-SDG keywords flagged: 8 SOFTWARE ENVIRONMENT------------------------------------------------------------ Python : 3.12.6 pandas : 2.2.2 numpy : 1.26.4 scipy : 1.13.1 matplotlib : 3.9.2 seaborn : 0.13.2 plotly : 5.24.1 kaleido : 0.2.1 rapidfuzz : 3.10.1 openpyxl : 3.1.5 requests : 2.32.3 pyyaml : 6.0.2 tqdm : 4.66.5 adjustText : 1.3.0 R : not detected bibliometrix : see session_info() ROR data : v2.6-2026-04 (10.5281/zenodo.19576723) REPRODUCIBILITY STATEMENT------------------------------------------------------------With authorised Scopus access and the versioned rule sets archivedin this repository, the deterministic stages of this pipeline aredesigned to produce identical outputs. SHA-256 checksums for allraw data files are recorded in provenance/stage2_checksums.txt. ============================================================Created: 2026-05-18 13:40 UTC

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.5281/zenodo.20272150

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.