MineSDG: Strategic Analytics & Sector Intelligence

MineSDG is a research-grade R framework designed to bridge the gap between raw operational data and the United Nations Sustainable Development Goals (SDGs). While generic tools rely on text-mining, MineSDG utilizes a quantitative "Sector Intelligence" layer to provide deep, actionable insights into mining sustainability.

The framework is architected for multi-source data agility, enabling users to integrate global sustainability indicators with regional benchmarks and internal corporate metrics to create a unified "Single Source of Truth" for ESG performance.

It transforms fragmented metrics into executive-ready intelligence through four analytical pillars:

• Agnostic Data Integration: Robust retrieval and harmonization of global, regional, and sector-specific sustainability datasets.

• Advanced Statistical Diagnostics: Trend analysis, volatility indexing, and convergence testing.

• Mining-Specific Interpretation: Mapping indicators to industry domains like Biodiversity & Land or Resource Efficiency.

• Strategic Reporting: Automated generation of board-ready executive summaries and publication-quality visualizations.

Key Capabilities

• SDG Analytics Engine: Perform CAGR calculations, linear trend slopes, and percent change analysis on sustainability metrics.

• Stability & Risk Diagnostics: Evaluate ESG risk through volatility indexing and coefficient of variation.

• Benchmarking & Ranking: Compare performance against global benchmarks with automated Z-scoring and percentile ranking.

• Mining Risk Engine: Generate sector-aware risk profiles by integrating indicator trends with domain-specific relevance scoring.

• Composite ESG Indexing: Build weighted indices (e.g., Biodiversity, Climate, or Social Impact) tailored to the mining sector's materiality.

Installation

The stable version (v0.1.0) of MineSDG is available as a formal release. You can install it directly from GitHub like so:

# install.packages("devtools")
devtools::install_github("imanojkumar/MineSDG@v0.1.0")

For the latest development features (v0.2.0.9000), including the Mining Risk Engine, Convergence Analysis, and Composite ESG Indexing:

# install.packages("devtools")
devtools::install_github("imanojkumar/MineSDG")

Quick Start: Strategic Workflow

MineSDG leverages open-access global data. No API keys are required for standard retrieval, allowing you to move from raw data to sector-specific intelligence in seconds:

The following example demonstrates how to retrieve data, analyze trends, and generate a mining-specific risk profile:

library(MineSDG)

# 1. Retrieve Global Data (e.g., Land Degradation / SDG 15.3.1)
# Accesses the official UN SDG API directly
dt <- fetch_sdg_country_data(
  indicator  = "15.3.1",
  country    = "IND",
  year_range = c(2015, 2020)
)

# 2. Generate Sector-Specific Risk Profile
# Integrates trend, volatility, and domain relevance
risk_profile <- generate_mining_risk_profile(dt, indicator = "15.3.1")

# 3. View Executive Summary
# Produces board-ready narrative interpretation
cat(risk_profile$executive_summary)

# 4. Visualize the Strategic Trend
plot_sdg_trend(dt)

Citation & Data Acknowledgement

If you use MineSDG in your research, ESG reports, or strategic reviews, please cite it as follows:

Citation - APA 7th Edition:

Kumar, M. (2026). MineSDG: Strategic Analytics & Sector Intelligence for Mining Sustainability (Version 0.1.0) [R package]. GitHub. https://github.com/imanojkumar/MineSDG

BibTeX:

@Manual{,
  title = {MineSDG: Strategic Analytics & Sector Intelligence for Mining Sustainability},
  author = {Manoj Kumar},
  year = {2026},
  note = {R package version 0.1.0},
  url = {https://github.com/imanojkumar/MineSDG},
}

Data Acknowledgement

MineSDG acts as a client to the United Nations Sustainable Development Goals API. Users of this package are bound by the United Nations Data Terms of Use. We gratefully acknowledge the UN Statistics Division for maintaining the global SDG indicator database.