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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 Environmental, Social and Governance (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.
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.
The stable version (v0.4.0) 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@v0.4.0")For the latest version (v0.4.0), including the
Environmental, Social and Governance (ESG) Reporting Layer
(Global Reporting Initiative (GRI), International Council on Mining and
Metals (ICMM), Business Responsibility and Sustainability Reporting
(BRSR)), the Disclosure Bundle,
Site KPI Engine, SDG Scorecards, the
SDG-Mining Ontology, bundled demo datasets, and the
Shiny Dashboard:
# install.packages("devtools")
devtools::install_github("imanojkumar/MineSDG")MineSDG is now a reporting engine: one call turns site data into a GRI, ICMM or BRSR report, with every number sourced from the existing KPI engine through the disclosure bundle (single source of truth, zero duplicate calculations):
library(MineSDG)
# GRI 302/303/304/305/306/403/413 in one line
rep <- generate_gri_report(demo_mine_sites, site_id = "CU-ATAC",
years = 2022:2024)
gri_content_index(rep)
# ICMM: board scorecard, traffic lights, recommendations
icmm <- generate_icmm_report(demo_mine_sites, site_id = "CU-ATAC",
years = 2023:2024)
icmm$extras$traffic_lights
# BRSR Sections A/B/C (INR lakh via entity_meta$fx_usd_inr)
generate_brsr_kpis(demo_mine_sites, site_id = "CO-JHAR",
years = 2023:2024,
entity_meta = list(fx_usd_inr = 83.2))
# Render to HTML / PDF / DOCX (Quarto) or Excel (openxlsx2)
render_minesdg_report(rep, "gri_2024.pdf", format = "pdf")
write_report_xlsx(rep, "gri_2024.xlsx")Framework mappings are data
(gri_crosswalk, icmm_crosswalk,
brsr_crosswalk): adding a disclosure means editing a
dataset, not code. The dashboard gains Benchmark and Radar tabs
(score_portfolio_sdg(), plot_sdg_radar(),
plot_domain_radar()). Tutorial:
vignette("esg-reporting").
MineSDG now works at site level as well as country level — fully offline, on bundled demo data or your own:
library(MineSDG)
# Score one site-year against SDG-aligned KPI thresholds
site <- demo_mine_sites[demo_mine_sites$site_id == "CU-ATAC" &
demo_mine_sites$year == 2024, ]
score_site_sdg(site)
#> Composite score: 66.8 / 100 | Grade: C
# Framework-referenced calculators (Global Reporting Initiative (GRI) 11 /
# International Council on Mining and Metals (ICMM) /
# Sustainability Accounting Standards Board (SASB) /
# Greenhouse Gas (GHG) Protocol
calculate_ghg_intensity(636000, 342000, 18481) # SDG 13
calculate_safety_performance(6400000, 32, 10) # SDG 8.8 (TRIFR/LTIFR)
calculate_waste_intensity(18481, 17750, 45412) # SDG 12
# Explore the SDG-to-mining ontology and KPI registry
explore_sdg_ontology(domain = "water")
list_mining_kpis(sdg_goal = 8)
# Launch the interactive dashboard (requires shiny)
run_minesdg_dashboard()Tutorials: vignette("site-level-kpis") and
vignette("sdg-ontology-and-scorecard").
MineSDG leverages open-access global data. No API keys are required for standard retrieval, allowing you to move from raw data to sector-specific intelligence in seconds:
The following example demonstrates how to retrieve data, analyze trends, and generate a mining-specific risk profile:
library(MineSDG)
# 1. Retrieve Global Data (e.g., Land Degradation / SDG 15.3.1)
# Accesses the official 'United Nations SDG API' directly
dt <- fetch_sdg_country_data(
indicator = "15.3.1",
country = "IND",
year_range = c(2015, 2020)
)
# 2. Generate Sector-Specific Risk Profile
# Integrates trend, volatility, and domain relevance
risk_profile <- generate_mining_risk_profile(dt, indicator = "15.3.1")
# 3. View Executive Summary
# Produces board-ready narrative interpretation
cat(risk_profile$executive_summary)
# 4. Visualize the Strategic Trend
plot_sdg_trend(dt)If you use MineSDG in your research, ESG reports, or strategic reviews, please cite it as follows:
Kumar, M. (2026). MineSDG: Strategic Analytics & Sector Intelligence for Mining Sustainability (Version 0.4.0) [R package]. GitHub. https://github.com/imanojkumar/MineSDG@Manual{,
title = {MineSDG: Strategic Analytics & Sector Intelligence for Mining Sustainability},
author = {Manoj Kumar},
year = {2026},
note = {R package version 0.4.0},
url = {https://github.com/imanojkumar/MineSDG},
}MineSDG acts as a client for the official ‘United Nations SDG 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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.