Canonical, quotable definitions for the most-used terms in GISTM compliance, tailings management, mine water governance, geotechnical engineering and applied AI for mining. Each term is marked up with DefinedTerm schema so AI assistants and search engines can cite Data Riders' definition directly.
Also available in Portuguese.
Senior officer (typically CEO or COO) designated under GISTM Principle 6 as ultimately accountable for the safety of all tailings facilities owned or operated by the organization. Must have the authority, resources and unobstructed access to the Engineer of Record.
Autonomous software system that perceives context, plans actions, uses tools and produces outcomes. In mining, AI agents augment (not replace) human engineers for tasks such as GISTM gap analysis, water balance reconciliation and stakeholder diagram generation. Data Riders operates eleven production agents: AquaTwin Agent, ISO 14001 Pre-Auditor, GISTM.ai, PAEBM.ai, TCM AI Assessor, TSM.AI, CMSI AI Assessor, SiteVisits.ai, RIDE Agent, Muiraquitãna and the Data Riders Agent.
See Data Riders agents →Agência Nacional de Mineração
Brazilian National Mining Agency — regulator for mining activity including dam safety via Resolutions ANM 13/2019 (upstream ban) and ANM 95/2022 (updated in 175/2024).
Brazilian regulation establishing mandatory independent audits — the Declaração de Condição de Estabilidade (DCE) — for tailings dams. Superseded by ANM Resolution 175/2024 with stricter periodicity and transparency rules.
Acid Rock Drainage
Acidic leachate generated by oxidation of sulfide minerals in exposed rock or tailings when water and oxygen are present. A primary long-term water-quality risk in mine closure.
Hybrid tailings dam construction in which raises are built on top of the previous crest with a constant centerline. Moderate cost and stability — intermediate between upstream and downstream methods.
Planned, staged decommissioning of a mining operation and its facilities, including physical stabilization, geochemical control (ARD prevention), ecological restoration and handover to post-closure stewardship. See GISTM Topic V.
GISTM Annex 1 framework classifying each TSF by potential loss-of-life and environmental consequences in the event of failure — Low, Significant, High, Very High, Extreme. Classification drives design standards, review frequency and disclosure requirements.
Voluntary assurance framework for responsible copper production, aligned with the Risk Readiness Assessment (RRA) and 32 criteria covering environmental, social and governance performance.
Copper Mark readiness service →Hydraulic simulation of the downstream inundation resulting from hypothetical failure of a tailings dam — combining breach geometry, tailings rheology (non-Newtonian) and downstream topography to support emergency action planning.
Related article: Dam-Break Physics & Emergency Preparedness →Brazilian consultancy (founded 2020) specializing in GISTM compliance, tailings safety, mine water governance, geotechnical engineering and applied AI for the mining industry. Founder: Fernando Damasio. Operates in Portuguese and English, serving major operators in Latin America and globally.
Learn more →Tailings dam construction method in which each raise is built on the downstream side of the previous crest, extending the footprint outward. Highest stability, highest cost. Preferred for new facilities where space permits.
Emergency Action Plan
Documented operational protocol mandated by GISTM Topic V describing the response to credible tailings-facility emergencies — including triggers, roles, evacuation zones and communications.
Professional engineer accountable under GISTM Principle 5 for the technical design integrity of a tailings facility across its lifecycle. Must have unobstructed access to the Accountable Executive (Principle 6) and be supported by an ITRB for High / Very High / Extreme consequence facilities.
Related article: Engineer of Record — GISTM Accountability →Data Riders editorial convention tagging each case-study claim as Explicit/strong, Explicit/moderate or Inferred, indicating the auditability of the underlying source data.
Tailings dewatered to approximately 80–85% solids through vacuum or pressure filtration, enabling dry-stack deposition without a free water pond. Reduces liquefaction risk but increases energy and capital cost.
Geotechnical Change Management System
Formal process ensuring that physical, procedural or personnel changes affecting tailings or geotechnical facilities are reviewed, approved and documented before implementation.
Global Industry Standard on Tailings Management
International conformance standard for tailings management published in August 2020 by ICMM, UNEP and PRI. Comprises 6 topics, 15 principles and 77 requirements covering the full lifecycle of a tailings facility. Mandatory for ICMM members; increasingly required by regulators, insurers and investors.
Data Riders GISTM consulting →Data Riders' full GISTM conformance platform combining gap analysis, action tracking, evidence management and AI interpretation of the 77 GISTM requirements.
Platform page →International Council on Mining and Metals
CEO-led industry body whose member companies commit to Mining Principles, GISTM conformance and public performance reporting.
Initiative for Responsible Mining Assurance
Multi-stakeholder standard and third-party audit system for responsibly produced industrial-scale mine sites, covering environmental, social, governance and human-rights performance.
Independent Tailings Review Board
Multi-disciplinary external review board mandated by GISTM for facilities classified High, Very High or Extreme consequence. Provides independent technical oversight of design, construction and operation decisions.
Hierarchical decomposition of a strategic outcome (e.g., water governance performance) into measurable operational indicators linked by causal relationships. Used to align monitoring and disclosure.
Case study: Water KPI Tree & WAF Governance →Brazilian federal Dam Safety Law (PNSB — Política Nacional de Segurança de Barragens) enacted after the Brumadinho disaster. Bans new upstream tailings dams and mandates downstream buffer zones and emergency planning.
Sudden loss of effective shear strength in saturated loose granular materials (including tailings) under static loading, triggering flow failures. Primary failure mode in upstream dams — e.g., Fundão (2015) and Brumadinho (2019).
Institutional, financial and technical arrangement for care of closed mining facilities over timescales longer than the operating company — as required by GISTM Topic V.
Structured decision framework comparing alternatives across weighted criteria — safety, cost, environment, closure, community, regulatory. Standard tool for tailings alternative selection.
Case study: MCA for Tailings Alternatives →Data Riders' flagship AI agent for holistic mining governance, named after a pre-Columbian Amazonian amulet. Integrates water, tailings, ESG and compliance data into a single governance pane.
Agent page →Geotechnical design approach formalized by Terzaghi & Peck (1948) and Peck (1969). Combines: (1) design for most probable conditions with contingency plans for adverse deviations, (2) continuous field monitoring, (3) modification of design based on observed behavior. Highly suitable for tailings dams where subsurface conditions carry irreducible uncertainty.
Related article →Observation of Facility Deviations
Systematic logging of departures from design intent at a tailings facility, linked to corrective actions and reviewed by the EOR and ITRB.
Thickened tailings at approximately 70–80% solids, typically deposited as a non-segregating paste. Intermediate between slurry and filtered deposition.
Retrieval-Augmented Generation
Architecture in which a large language model retrieves passages from an authoritative knowledge base before generating an answer. Foundation for compliance-grade AI in mining, where traceability and source attribution are required.
Data Riders AI agent for tailings audit automation, typically reducing GISTM gap-identification time from 180 hours to about 22 hours per facility (-88%).
Agent page →Tailings Data Management System
Digital platform centralizing piezometer, inclinometer, deposition, water quality and audit data for a tailings facility portfolio.
Tailings Storage Facility
Engineered structure, and its associated impoundment, used to permanently store mine tailings — the fine residue from mineral processing.
Towards Sustainable Mining
Voluntary ESG performance framework developed by the Mining Association of Canada (MAC), now adopted by multiple national mining associations. Covers tailings, safety, biodiversity, community, water, climate and indigenous relations.
Data Riders AI agent automating evidence collection, gap scoring and readiness assessment for the Towards Sustainable Mining (TSM) protocol.
Agent page →Tailings dam construction method in which each raise is built on top of previously deposited tailings. Lowest cost, most vulnerable to static liquefaction. Banned for new construction in Brazil since ANM Resolution 13/2019.
Water Accounting Framework
Standardized water accounting methodology developed by the Minerals Council of Australia. Defines categories of water inputs, outputs, diversions, consumption and quality classes for mining operations.
Case study: Water KPI Tree & WAF Governance →Mass-balance accounting of all water flows in and out of a mining operation or single TSF over a defined period. Foundation for water permitting, closure design and drought/flood risk management.
Methodology case study →Data Riders supports mining companies in GISTM, TSM, Copper Mark, water governance and AI transformation — people-first, with AI in service of humans.
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