Scientometric Mapping of Organizational Maturity and Evaluation in Project Management (2015–2025)
Description
Dataset supporting a PRISMA-aligned scientometric mapping of Scopus-indexed literature on organizational project management maturity and evaluation (2015–2025). It includes the screened corpus (n = 313), the included corpus (n = 105), excluded records with reasons, indicator tables (Price, Bradford, Lotka, impact, countries, themes), figures, and the PRISMA protocol. Screening was automated on metadata (project-management and maturity/evaluation terms). Only EID/DOI identifiers are deposited; raw Scopus exports are not redistributed.
Files
Steps to reproduce
Dataset supporting a PRISMA-aligned scientometric mapping of Scopus-indexed literature on organizational project management maturity and evaluation (2015–2025). CONTENTS • data/corpus_incluido_n105.csv – final included corpus (n = 105) • data/corpus_excluido_n208.csv – excluded records with reason • data/corpus_cribado_completo_n313.csv – 313 records in the 2015–2025 window after EID deduplication • data/Material_suplementario_cribado.xlsx – full screening sheet and operational rule • tables/Tablas_y_graficos_editables.xlsx – editable tables and charts (Price, Bradford, Lotka, impact, countries, themes) • figures/ – PRISMA flow, Price curve, Bradford, co-authorship network, thematic axes (PNG) • protocol/protocolo_PRISMA.html – PRISMA-P / PRISMA 2020 protocol • docs/ – README, data dictionary, reproduction methodology, dataset description REPRODUCTION STEPS 1. Download all files from this dataset. 2. Screening rule (automated on metadata): Publication Stage = Final AND criterion c1 (project-management terms in title/abstract/author keywords) AND criterion c2 (maturity/assessment/evaluation terms). Expected result: 105 included, 208 excluded from 313 windowed records. 3. Indicators (Price OLS with 95% CI, Lotka maximum-likelihood exponent and Kolmogorov–Smirnov test, Bradford zones, impact, countries, themes) are pre-computed in tables/Tablas_y_graficos_editables.xlsx (black cells = formulas) and can be recomputed with the companion GitHub repository (prisma-automatico-scientometrics). 4. Place original Scopus CSV exports (not redistributed here) in the GitHub data/raw/ folder and run: python -m src.pipeline --raw-dir data/raw --out-dir outputs NOTES Only EID and DOI identifiers are deposited. Raw Scopus exports are not redistributed in order to comply with Elsevier/Scopus terms of use. Users must retrieve full metadata from Scopus or Crossref using the provided identifiers. Licence: CC BY 4.0
Institutions
- Corporación Universitaria Minuto de DiosBogota D.C., Bogotá
Categories
Funders
- Corporación Universitaria Minuto de DiosBogota D.C., Bogotá