work.evidence-traceability
- Skill ID:
work.evidence-traceability - Name: Evidence traceability
- Version: 1.0.0
- Admission state: pending
- Fabric source commit:
8eb3784b2a9fa5c6f3bb1115d6da44358e45916f - Admission ref:
contracts/acp/skills/faithfulness/admissions/work.evidence-traceability_supported_claims.json - Admission digest:
sha256:d240d364edb0347c4daf363d926b1bcfa98ae8a65dded19e379dbd930d61f0a9
Declared metadata
purpose
not declared by the Fabric artifact
trigger
not declared by the Fabric artifact
inputs
not declared by the Fabric artifact
outputs
not declared by the Fabric artifact
risk
not declared by the Fabric artifact
model
not declared by the Fabric artifact
locale
not declared by the Fabric artifact
changelog
not declared by the Fabric artifact
deprecation
not declared by the Fabric artifact
support
not declared by the Fabric artifact
Normative statements
wet-src-1 (sourced)
Humans should be able to exchange and interpret each other’s data (so preferably do not use dead languages). But this also applies to computers, meaning that data that should be readable for machines without the need for specialised or ad hoc algorithms, translators, or mappings. The main goal of this principle is to provide a common understanding of digital objects by means of a language for knowledge representation to be used to represent these objects.
Source references:
{
"source_clause": "I1-meaning",
"source_page": "web",
"source_ref": "https://www.go-fair.org/fair-principles/i1-metadata-use-formal-accessible-shared-broadly-applicable-language-knowledge-representation/",
"source_section_ref": "i1-meaning"
}
wet-src-2 (sourced)
The chosen language should have a formal specification, i.e., the language’s syntax and grammar are defined in a precise way. Another requirement is that the knowledge representation language specifications should be shared and accessible so others can read the specifications and learn the language. Finally, in other to support interoperability, the language should be designed to be used in more than one scenario.
Source references:
{
"source_clause": "I1-properties",
"source_page": "web",
"source_ref": "https://www.go-fair.org/fair-principles/i1-metadata-use-formal-accessible-shared-broadly-applicable-language-knowledge-representation/",
"source_section_ref": "i1-properties"
}
wet-src-3 (sourced)
R1.1 is about legal interoperability. What usage rights do you attach to your data? This should be described clearly. Ambiguity could severely limit the reuse of your data by organisations that struggle to comply with licensing restrictions. Clarity of licensing status will become more important with automated searches involving more licensing considerations.
Source references:
{
"source_clause": "R1.1-meaning",
"source_page": "web",
"source_ref": "https://www.go-fair.org/fair-principles/r1-1-metadata-released-clear-accessible-data-usage-license/",
"source_section_ref": "r1-1-meaning"
}
wet-src-4 (sourced)
The conditions under which the data can be used should be clear to machines and humans.
Source references:
{
"source_clause": "R1.1-conditions",
"source_page": "web",
"source_ref": "https://www.go-fair.org/fair-principles/r1-1-metadata-released-clear-accessible-data-usage-license/",
"source_section_ref": "r1-1-machine-human"
}
wet-src-5 (sourced)
The QAF represents a collection of methods, tools and good practices that are suggested for use or are already in use in some statistical authorities of the ESS.
Source references:
{
"source_clause": "aim-and-content",
"source_page": "web",
"source_ref": "https://ec.europa.eu/eurostat/web/quality/european-quality-standards/quality-assurance-framework",
"source_section_ref": "qaf-methods-tools"
}
wet-src-6 (sourced)
The aim of the QAF is to accompany the CoP by providing guidance and examples in the form of more detailed methods and tools. It also offers good practices for the high-level principles and indicators outlined in the CoP.
Source references:
{
"source_clause": "aim-and-content",
"source_page": "web",
"source_ref": "https://ec.europa.eu/eurostat/web/quality/european-quality-standards/quality-assurance-framework",
"source_section_ref": "qaf-guidance"
}
wet-der-1 (derived)
Represent each evidence item with a shared, machine-readable vocabulary and a precise syntax so another team can interpret the record without an ad hoc translation.
wet-der-2 (derived)
Attach a clear usage note to every evidence record and make its conditions understandable to both the person reading the record and the system processing it.
wet-der-3 (derived)
Use the evidence record together with repeatable methods, tools and examples, and retain the trace that shows how the selected method supports the stated quality judgement.
Admission reviewer record
{
"governance": {
"admission_lane": "independent_review",
"review_lane": "independent_review",
"reviewed_at": "2026-08-18T16:40:10Z",
"reviewed_by": "codex",
"source_evidence_pins": {
"ess-qaf-2019-overview": {
"evidence_ref": "contracts/acp/skills/faithfulness/source_evidence/ess-qaf-2019-overview.json",
"snapshot_digest": "sha256:30007999a4a0581b16ea0996fdd9933ee323c1df249a0c313427d90301bb4354",
"source_ref": "https://ec.europa.eu/eurostat/web/quality/european-quality-standards/quality-assurance-framework"
},
"go-fair-i1-language": {
"evidence_ref": "contracts/acp/skills/faithfulness/source_evidence/go-fair-i1-language.json",
"snapshot_digest": "sha256:9db9677d0ad7b7c40c32ac0399c0135fe2267405bb0f5c5106c0da7764e767fe",
"source_ref": "https://www.go-fair.org/fair-principles/i1-metadata-use-formal-accessible-shared-broadly-applicable-language-knowledge-representation/"
},
"go-fair-r1-1-license": {
"evidence_ref": "contracts/acp/skills/faithfulness/source_evidence/go-fair-r1-1-license.json",
"snapshot_digest": "sha256:c0f788087b3c652ed4fdd904a49cd8deb21ac0b69ad92d9aa89dd5b13107a9ff",
"source_ref": "https://www.go-fair.org/fair-principles/r1-1-metadata-released-clear-accessible-data-usage-license/"
}
}
},
"reviewer_verdicts": [
{
"evidence_span": "Humans should be able to exchange and interpret each other’s data (so preferably do not use dead languages). But this also applies to computers, meaning that data that should be readable for machines without the need for specialised or ad hoc algorithms, translators, or mappings. The main goal of this principle is to provide a common understanding of digital objects by means of a language for knowledge representation to be used to represent these objects.",
"evidence_span_digest": "sha256:7383c86a7de2a21c56342a42e3e25ca17df8d8fb25196ca5564160a0f3b4b2d1",
"outcome": "supported",
"reviewed_at": "2026-08-18T16:40:10Z",
"reviewer_id": "codex",
"section_digest": "sha256:d94254d5e44666cea8630fb272f80446b4b2ae63306c00a3c82b084f63e619ea",
"source_clause": "I1-meaning",
"source_page": "web",
"source_ref": "https://www.go-fair.org/fair-principles/i1-metadata-use-formal-accessible-shared-broadly-applicable-language-knowledge-representation/",
"source_section_ref": "i1-meaning",
"source_snapshot_digest": "sha256:9db9677d0ad7b7c40c32ac0399c0135fe2267405bb0f5c5106c0da7764e767fe",
"statement_digest": "sha256:7383c86a7de2a21c56342a42e3e25ca17df8d8fb25196ca5564160a0f3b4b2d1",
"statement_id": "wet-src-1",
"statement_text": "Humans should be able to exchange and interpret each other’s data (so preferably do not use dead languages). But this also applies to computers, meaning that data that should be readable for machines without the need for specialised or ad hoc algorithms, translators, or mappings. The main goal of this principle is to provide a common understanding of digital objects by means of a language for knowledge representation to be used to represent these objects.",
"support_relation": "direct_quote"
},
{
"evidence_span": "The chosen language should have a formal specification, i.e., the language’s syntax and grammar are defined in a precise way. Another requirement is that the knowledge representation language specifications should be shared and accessible so others can read the specifications and learn the language. Finally, in other to support interoperability, the language should be designed to be used in more than one scenario.",
"evidence_span_digest": "sha256:cb195a2623520e013be88ac7b82b32c0d577b1bfd2c918d295234c071eb241c2",
"outcome": "supported",
"reviewed_at": "2026-08-18T16:40:10Z",
"reviewer_id": "codex",
"section_digest": "sha256:406aeaf2538560d04326e75fb8f7ded94db75a54ee3fbbd0b625ef4114f466b9",
"source_clause": "I1-properties",
"source_page": "web",
"source_ref": "https://www.go-fair.org/fair-principles/i1-metadata-use-formal-accessible-shared-broadly-applicable-language-knowledge-representation/",
"source_section_ref": "i1-properties",
"source_snapshot_digest": "sha256:9db9677d0ad7b7c40c32ac0399c0135fe2267405bb0f5c5106c0da7764e767fe",
"statement_digest": "sha256:cb195a2623520e013be88ac7b82b32c0d577b1bfd2c918d295234c071eb241c2",
"statement_id": "wet-src-2",
"statement_text": "The chosen language should have a formal specification, i.e., the language’s syntax and grammar are defined in a precise way. Another requirement is that the knowledge representation language specifications should be shared and accessible so others can read the specifications and learn the language. Finally, in other to support interoperability, the language should be designed to be used in more than one scenario.",
"support_relation": "direct_quote"
},
{
"evidence_span": "R1.1 is about legal interoperability. What usage rights do you attach to your data? This should be described clearly. Ambiguity could severely limit the reuse of your data by organisations that struggle to comply with licensing restrictions. Clarity of licensing status will become more important with automated searches involving more licensing considerations.",
"evidence_span_digest": "sha256:392ae36d878d1fc4211947c6476ee7f670013b3e08d94ac3eb71e784af129854",
"outcome": "supported",
"reviewed_at": "2026-08-18T16:40:10Z",
"reviewer_id": "codex",
"section_digest": "sha256:77c6ef27670b15a6668531d9f78194969f3b49efb8045692205e9becb55f0a3d",
"source_clause": "R1.1-meaning",
"source_page": "web",
"source_ref": "https://www.go-fair.org/fair-principles/r1-1-metadata-released-clear-accessible-data-usage-license/",
"source_section_ref": "r1-1-meaning",
"source_snapshot_digest": "sha256:c0f788087b3c652ed4fdd904a49cd8deb21ac0b69ad92d9aa89dd5b13107a9ff",
"statement_digest": "sha256:392ae36d878d1fc4211947c6476ee7f670013b3e08d94ac3eb71e784af129854",
"statement_id": "wet-src-3",
"statement_text": "R1.1 is about legal interoperability. What usage rights do you attach to your data? This should be described clearly. Ambiguity could severely limit the reuse of your data by organisations that struggle to comply with licensing restrictions. Clarity of licensing status will become more important with automated searches involving more licensing considerations.",
"support_relation": "direct_quote"
},
{
"evidence_span": "The conditions under which the data can be used should be clear to machines and humans.",
"evidence_span_digest": "sha256:8bdf6c3bbe2b2dc61f992289985b71dea1e3357407daaee08f79ea44d2bf3107",
"outcome": "supported",
"reviewed_at": "2026-08-18T16:40:10Z",
"reviewer_id": "codex",
"section_digest": "sha256:3df03a60b8d558590ddfd795b0ade4e9d54c7815861067d81e7ec05a10772d1c",
"source_clause": "R1.1-conditions",
"source_page": "web",
"source_ref": "https://www.go-fair.org/fair-principles/r1-1-metadata-released-clear-accessible-data-usage-license/",
"source_section_ref": "r1-1-machine-human",
"source_snapshot_digest": "sha256:c0f788087b3c652ed4fdd904a49cd8deb21ac0b69ad92d9aa89dd5b13107a9ff",
"statement_digest": "sha256:8bdf6c3bbe2b2dc61f992289985b71dea1e3357407daaee08f79ea44d2bf3107",
"statement_id": "wet-src-4",
"statement_text": "The conditions under which the data can be used should be clear to machines and humans.",
"support_relation": "direct_quote"
},
{
"evidence_span": "The QAF represents a collection of methods, tools and good practices that are suggested for use or are already in use in some statistical authorities of the ESS.",
"evidence_span_digest": "sha256:c64da0342057d7fa7311abaff2265d6e43550dbd6071529ab94cdbd9f4d27388",
"outcome": "supported",
"reviewed_at": "2026-08-18T16:40:10Z",
"reviewer_id": "codex",
"section_digest": "sha256:9074b5a0ac06e3e1620ba0f9016b550fe436c80d24be05fe37bc598831bc2488",
"source_clause": "aim-and-content",
"source_page": "web",
"source_ref": "https://ec.europa.eu/eurostat/web/quality/european-quality-standards/quality-assurance-framework",
"source_section_ref": "qaf-methods-tools",
"source_snapshot_digest": "sha256:30007999a4a0581b16ea0996fdd9933ee323c1df249a0c313427d90301bb4354",
"statement_digest": "sha256:c64da0342057d7fa7311abaff2265d6e43550dbd6071529ab94cdbd9f4d27388",
"statement_id": "wet-src-5",
"statement_text": "The QAF represents a collection of methods, tools and good practices that are suggested for use or are already in use in some statistical authorities of the ESS.",
"support_relation": "direct_quote"
},
{
"evidence_span": "The aim of the QAF is to accompany the CoP by providing guidance and examples in the form of more detailed methods and tools. It also offers good practices for the high-level principles and indicators outlined in the CoP.",
"evidence_span_digest": "sha256:e497249289454535bbfbf50a7f951c738c30a20a7fde2c462e7a8d55106adbc9",
"outcome": "supported",
"reviewed_at": "2026-08-18T16:40:10Z",
"reviewer_id": "codex",
"section_digest": "sha256:033c5eee5d1c067b82d66607e78a9d1c4162a0748d86638e274fdf3364b2f240",
"source_clause": "aim-and-content",
"source_page": "web",
"source_ref": "https://ec.europa.eu/eurostat/web/quality/european-quality-standards/quality-assurance-framework",
"source_section_ref": "qaf-guidance",
"source_snapshot_digest": "sha256:30007999a4a0581b16ea0996fdd9933ee323c1df249a0c313427d90301bb4354",
"statement_digest": "sha256:e497249289454535bbfbf50a7f951c738c30a20a7fde2c462e7a8d55106adbc9",
"statement_id": "wet-src-6",
"statement_text": "The aim of the QAF is to accompany the CoP by providing guidance and examples in the form of more detailed methods and tools. It also offers good practices for the high-level principles and indicators outlined in the CoP.",
"support_relation": "direct_quote"
},
{
"derived_from_statement_ids": [
"wet-src-1",
"wet-src-2"
],
"outcome": "supported",
"reviewed_at": "2026-08-18T16:40:10Z",
"reviewer_id": "codex",
"statement_digest": "sha256:f4e8f5ad15be6f2d178bd5563634d8e3a0d53cbac1397f411b6d25cbc8d8e7a9",
"statement_id": "wet-der-1",
"statement_text": "Represent each evidence item with a shared, machine-readable vocabulary and a precise syntax so another team can interpret the record without an ad hoc translation."
},
{
"derived_from_statement_ids": [
"wet-src-3",
"wet-src-4"
],
"outcome": "supported",
"reviewed_at": "2026-08-18T16:40:10Z",
"reviewer_id": "codex",
"statement_digest": "sha256:8fda33fe17e5a9aa5405eef25da41ddfcb672cf69c43a44ec4870a8d087deeb9",
"statement_id": "wet-der-2",
"statement_text": "Attach a clear usage note to every evidence record and make its conditions understandable to both the person reading the record and the system processing it."
},
{
"derived_from_statement_ids": [
"wet-src-5",
"wet-src-6"
],
"outcome": "supported",
"reviewed_at": "2026-08-18T16:40:10Z",
"reviewer_id": "codex",
"statement_digest": "sha256:08d0b6d943166a3a67080add09b2e2fffa126d7f7b9f481ec207bdcd0b7056f8",
"statement_id": "wet-der-3",
"statement_text": "Use the evidence record together with repeatable methods, tools and examples, and retain the trace that shows how the selected method supports the stated quality judgement."
}
]
}
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