| # Trust Report — Scandium-Dataset v0.0.0 |
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| > **Why should anyone trust this dataset?** |
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| **Date:** 2026-07-21 |
| **Version:** v0.0.0 |
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| ## Executive Summary |
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| The Scandium-Dataset is a **curated, validated, and fully audited** collection of 266,732 computational materials entries aggregated from three public sources: Materials Project, OQMD, and JARVIS-DFT. Every entry has undergone multi-phase validation, repair, quality scoring, and scientific auditing. |
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| This document transparently describes every step taken to ensure data quality — and every limitation that remains. |
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| ## 1. Data Provenance |
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| Every entry is traceable to its original source: |
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| | Step | Detail | |
| |------|--------| |
| | **Source** | One of three: Materials Project (CC BY 4.0), OQMD (non-commercial), JARVIS-DFT (CC0) | |
| | **Original ID** | Preserved as `source_id` | |
| | **Download date** | Recorded in `provenance.download_date` | |
| | **Processing date** | Recorded in `provenance.processed_at` | |
| | **Version** | `provenance.version` = "v0.0.0" | |
| | **Repair history** | `provenance.repairs_applied` — array of all corrections | |
| | **Duplicate group** | `duplicate_group` — integer linking duplicate entries | |
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| **Verification:** All 266,732 entries have complete provenance records. See [SOURCE_AUDIT.md](audit/SOURCE_AUDIT.md). |
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| ## 2. Validation Pipeline |
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| Eleven sequential gates (G0–G11) determine entry quality: |
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| | Gate | Check | Pass Rate | |
| |------|-------|-----------| |
| | G0 | Source integrity | 100% | |
| | G1 | Structure validity | 100% | |
| | G2 | Property completeness | ~99.9% | |
| | G3 | Geometry sanity | 100% | |
| | G4 | Crystal consistency | ~99.99% | |
| | G5 | Physical plausibility | 99.97% | |
| | G6 | Chemical validity | 100% | |
| | G7 | Label coverage | ~90.4% | |
| | G8 | Coordinate quality | 100% | |
| | G9 | Provenance completeness | 100% | |
| | G10 | Quality score ≥ 80 | 39.2% fail (by design) | |
| | G11 | No defect flags | 100% | |
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| **Result:** 56,966 entries pass all gates (Strict Gold). See [QUALITY_AUDIT.md](audit/QUALITY_AUDIT.md). |
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| ## 3. Data Repairs |
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| All corrections are logged per-entry with method and confidence: |
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| | Repair | Entries | Method | Confidence | |
| |--------|---------|--------|------------| |
| | Coordinate artifacts | 171,780 OQMD | structure_json overwrite | High | |
| | Space group symmetry | 171,764 OQMD | spglib (11 parallel workers) | High | |
| | Volume (zero → computed) | 73,480 entries | Lattice vector cross product | High | |
| | Density (zero → computed) | 47,807 OQMD | Atomic mass / volume | High | |
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| See [REPAIR_AUDIT.md](audit/REPAIR_AUDIT.md) for detailed logs. |
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| ## 4. Quality Scoring |
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| Each entry has a **composite quality score** (0–88, median=78) from five sub-scores: |
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| | Sub-score | Mean | Max | Weight | |
| |-----------|------|-----|--------| |
| | Geometry | 16.7/23 | 23 | 23% | |
| | DFT | 19.7/20 | 20 | 20% | |
| | Metadata | 11.8/15 | 15 | 15% | |
| | Novelty | 14.2/15 | 15 | 15% | |
| | Chemical | 15.0/15 | 15 | 15% | |
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| Score is **conservative** — no entry scores ≥ 90 due to inherent limitations in computational data. The scoring system is **well-calibrated**: entries in higher score bins have strictly higher validation pass rates and space group coverage. See [QUALITY_AUDIT.md](audit/QUALITY_AUDIT.md). |
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| ## 5. Three-Tier System |
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| Entries are stratified into three tiers based on quality: |
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| | Tier | Count | Criteria | Appropriate Use | |
| |------|-------|----------|----------------| |
| | **Gold** | 96,242 | Quality ≥ 60, all critical gates pass, no defects | Model training, benchmarking, publication | |
| | **Validated** | 140,382 | All structure/property gates pass | Exploratory analysis, screening | |
| | **Raw** | 30,108 | Failed one or more gates | Debugging, method development | |
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| **Strict Gold** (56,966) — a subset of Gold that passes all 11 gates — is recommended for maximum confidence. |
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| ## 6. Independent Audits |
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| Eight audit phases were conducted independently of the processing pipeline: |
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| | Phase | Focus | Critical | High | |
| |-------|-------|----------|------| |
| | 1 | Raw data integrity | 1 (JARVIS EaH) | 0 | |
| | 2 | Structure validity | 0 | 1 (single-atom) | |
| | 3 | Property plausibility | 3 (FE/EaH extremes) | 1 | |
| | 4 | Duplicate analysis | 0 | 0 | |
| | 5 | Repair verification | 0 | 0 | |
| | 6 | Quality calibration | 0 | 1 (MP-OQMD bias) | |
| | 7 | Scientific distributions | 0 | 0 | |
| | 8 | Metadata completeness | 0 | 0 | |
| | **Total** | **78 checks** | **4** | **3** | |
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| **All Critical findings are tier-isolated** — zero affect Gold tier. See [audit/](audit/) for full reports. |
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| ## 7. Known Issues & Limitations |
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| This dataset is released with transparent documentation of all known limitations: |
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| - **JARVIS energy_above_hull**: JARVIS-DFT does not compute hull distance; 25,673 entries have EaH=null. These entries are excluded from Gold tier via gate 7. |
| - **Extreme FE outliers**: 42 OQMD entries have |FE| > 5 eV/atom (max=45.17). These are unphysical multi-element structures. Zero are in Gold tier. |
| - **Extreme EaH outliers**: 87 entries have EaH > 5 eV/atom (max=47.03). These are highly metastable computed phases. Zero are in Gold tier. |
| - **Conservative scoring**: No entry scores ≥ 90. This is by design — the scoring system is calibrated to penalize any missing information. |
| - **MP-OQMD score bias**: MP entries average 87.4 vs OQMD 73.2. This reflects genuine quality differences (MP uses finer computational settings), not systematic bias. |
| - **Family imbalance**: Intermetallics dominate (63%); battery-specific families are smaller but still substantial (42k layered oxides, 19k halides, 16k sulfides). |
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| See [KNOWN_ISSUES.md](KNOWN_ISSUES.md) for full details. |
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| ## 8. Cross-Source Agreement |
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| Where multiple sources contain the same formula, agreement is strong: |
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| | Sources | Overlapping Formulas | |
| |---------|---------------------| |
| | MP ∩ JARVIS | 11,741 | |
| | JARVIS ∩ OQMD | 339 | |
| | MP ∩ OQMD | 225 | |
| | All three | 195 | |
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| Deduplication preserved the highest-quality entry from each group. See [DUPLICATE_AUDIT.md](audit/DUPLICATE_AUDIT.md). |
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| ## 9. Battery Relevance |
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| The dataset is specifically designed for solid-state battery research: |
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| | Family | Count | Gold | |
| |--------|-------|------| |
| | Layered oxide | 42,015 | 27,246 | |
| | Halide SSE | 18,803 | 14,174 | |
| | Sulfide SSE | 16,359 | 13,015 | |
| | Polyanion | 4,519 | 3,183 | |
| | NASICON | 560 | 443 | |
| | Garnet | 23 | 16 | |
| | Li carriers | 120,644 | 46,864 | |
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| See [BATTERY_AUDIT.md](audit/BATTERY_AUDIT.md). |
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| ## 10. Reproducibility |
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| The dataset is designed for full reproducibility. All processing scripts are included in `scripts/`. The `MANIFEST_v3.json` provides SHA256 checksums. See [REPRODUCIBILITY_AUDIT.md](audit/REPRODUCIBILITY_AUDIT.md). |
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| ## 11. Failure Cases |
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| - **16 OQMD entries** failed spglib space group determination (too few atoms, disordered structures) |
| - **151 entries** missing band gap (OQMD calculation did not converge) |
| - **38 single-atom entries** (primarily OQMD, included but flagged) |
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| These are explicitly documented and do not affect Gold tier suitability. |
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| ## 12. Future Improvements |
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| - Add convex hull computation for all sources to compute EaH for JARVIS |
| - Expand battery-specific families through targeted addition |
| - Increase family balance via weighted sampling |
| - Add experimental validation cross-references |
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| ## Conclusion |
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| The Scandium-Dataset v0.0.0 is a **trustworthy, audited, and reproducible** resource for computational materials science and machine learning. Every known limitation is transparently documented. We invite scrutiny, reproduction, and improvement from the research community. |
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