A review of data challenges and opportunities for large-scale assessments of mining’s social and environmental impacts

• Mining impacts extend beyond the mine site, embedded in the local context. • Public disclosures fall short of providing meaningful information for stakeholders. • Alternative data sources are needed to complement corporate reporting. • Fitness-for-purpose principles and hybrid approaches may improve data limitations. • Open-access advanced computing platforms as decision-support tools for stakeholders. The global shift towards decarbonization has intensified demand for critical minerals, placing the mining sector under greater scrutiny for its socio-environmental impacts. While corporate sustainability disclosures remain the primary source of public information, they fall short in scale, granularity, embedded contextual relevance, and comparability. This review examines four alternative data approaches - crowdsourcing, data scraping, remote sensing, and environmental, social and governance indicators - to assess their potential in supporting large-scale mining impact assessments and overcoming the data challenges. These approaches are complements to corporate reporting, enabling independent, spatially explicit, and cross-comparable analyses. However, distinct limitations exist, including data quality, interoperability, and fitness-for-use. To address these challenges, we propose the exploration of hybrid methodologies, guided by principles of fitness-for-use assessments, data integration, and recognition of data limitations. We also highlight the critical role of open-access platforms with built-in geospatial tools for harmonizing heterogeneous datasets and facilitating dynamic, cross-scalar monitoring of impacts. We recognize that while these emerging technologies provide useful opportunities for assessing and communicating mining impacts to stakeholders, they cannot address the ongoing needs for site-specific baseline data and diagnosis. Ultimately, greater emphasis is necessary on data fitness evaluation, judicious integration, and improved accessibility to support effective, transparent, and contextually grounded assessments of the sector’s socio-environmental performance.

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Publication Details

Journal
The Extractive Industries and Society
Published
2026-02-10
DOI
https://doi.org/10.1016/j.exis.2026.101871
Primary Topic
Mining and Resource Management
Type
article
Field-Weighted Citation Impact
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article

A review of data challenges and opportunities for large-scale assessments of mining’s social and environmental impacts

Éléonore Lèbre, Michelle L.E. Ang, Neil McIntyre
The Extractive Industries and Society
Mining and Resource Management
article

A review of data challenges and opportunities for large-scale assessments of mining’s social and environmental impacts

Éléonore Lèbre, Michelle L.E. Ang, Neil McIntyre
article en

Abstract

• Mining impacts extend beyond the mine site, embedded in the local context. • Public disclosures fall short of providing meaningful information for stakeholders. • Alternative data sources are needed to complement corporate reporting. • Fitness-for-purpose principles and hybrid approaches may improve data limitations. • Open-access advanced computing platforms as decision-support tools for stakeholders. The global shift towards decarbonization has intensified demand for critical minerals, placing the mining sector under greater scrutiny for its socio-environmental impacts. While corporate sustainability disclosures remain the primary source of public information, they fall short in scale, granularity, embedded contextual relevance, and comparability. This review examines four alternative data approaches - crowdsourcing, data scraping, remote sensing, and environmental, social and governance indicators - to assess their potential in supporting large-scale mining impact assessments and overcoming the data challenges. These approaches are complements to corporate reporting, enabling independent, spatially explicit, and cross-comparable analyses. However, distinct limitations exist, including data quality, interoperability, and fitness-for-use. To address these challenges, we propose the exploration of hybrid methodologies, guided by principles of fitness-for-use assessments, data integration, and recognition of data limitations. We also highlight the critical role of open-access platforms with built-in geospatial tools for harmonizing heterogeneous datasets and facilitating dynamic, cross-scalar monitoring of impacts. We recognize that while these emerging technologies provide useful opportunities for assessing and communicating mining impacts to stakeholders, they cannot address the ongoing needs for site-specific baseline data and diagnosis. Ultimately, greater emphasis is necessary on data fitness evaluation, judicious integration, and improved accessibility to support effective, transparent, and contextually grounded assessments of the sector’s socio-environmental performance.

The Extractive Industries and SocietyVol. 26
The University of Queensland (AU)
Life in Land
Openalex Percentile: Top 61%
Mining and Resource Management
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