Basketball S&C Technology Scoping Review

Scoping review on the use of technology for Strength & Conditioning assessment and monitoring in basketball, following the PRISMA-ScR framework.

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Team & Hierarchy

Role	Name
Investigador Principal	[Tu Nombre / Doctor]
Mentor y Revisor	Samuel Montalvo
Automatización y Análisis	Isaac (Estudiante de Maestría, UdG)

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Workflow

Source of Truth

The single source of truth for this project is:

01_input_raw/basket_ASREVIEW_FINAL.csv

All downstream outputs are derived from this file. Never modify it directly.

Script Execution Order

Scripts must be executed in the order defined in 00_admin/PROJECT_MAP.md:

Step	Script	Purpose
0	00_organize_project_files.R	Create folder structure and route files
1	03_scripts/screening_script.R	Automated title/abstract screening
2	03_scripts/01_audit_samples.R	Generate stratified audit samples
3	03_scripts/02_regex_refinement_diagnostics.R	Regex coverage diagnostics
4	03_scripts/03_maybe_second_layer_triage.R	Sub-classify MAYBE records
5	03_scripts/04_prisma_flow_generator.R	PRISMA counts and flow diagram
6	03_scripts/05_audit_QA_kappa_PRISMA.R	QA metrics, kappa, full-text template

After Step 6, human reviewers fill the human_decision columns in audit CSVs, then re-run Steps 6-8 as described in PROJECT_MAP.md.

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Project Structure

Basketball_Scoping_Review/
├── 00_admin/                    Project administration & logs
├── 01_input_raw/                Raw inputs (immutable)
├── 02_screening_outputs/        Title/abstract screening results
├── 03_scripts/                  All R scripts
├── 04_audit_QA/                 Human audit & inter-rater agreement
├── 05_maybe_triage/             MAYBE sub-classification
├── 06_fulltext/                 Full-text screening workspace
├── 07_prisma/                   PRISMA-ScR outputs
├── 08_reports_diagnostics/      Diagnostic reports
└── 99_archive/                  Legacy files (reference only)

For a detailed file-level map, see 00_admin/PROJECT_MAP.md.

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Reproducibility

1. Clone the repository.
2. Ensure R (>= 4.0) and tidyverse are installed.
3. Set the working directory to the project root.
4. Run scripts in the order specified above.

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License

This project is for academic research purposes. All rights reserved by the research team.