data-standardization-expert
Standardize Enterprise Data Practices
Organizations struggle to map data practices to current standards and produce consistent governance documents. This skill structures assessments, implementation plans, and standards drafting.
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Review the Skillstore skill "data-standardization-expert" from https://skillstore.io/skills/dhturing-data-standardization-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-standardization-expert/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Seu Agente ainda deve apresentar o plano e solicitar qualquer confirmação exigida pela política de segurança.
Recursos legíveis por agentes
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Testar
Usando "data-standardization-expert". Map standards for a data asset registration initiative.
Resultado esperado:
- Priority 1: define data asset categories, identifiers, ownership fields, and registration evidence.
- Priority 2: align quality measures with GB/T 36344 and classification controls with GB/T 43697.
- Deliverables: applicable standards list, registration field standard, implementation plan, and review checklist.
Usando "data-standardization-expert". Outline an enterprise data quality standard.
Resultado esperado:
Proposed sections: scope, references, terms, quality dimensions, measurement rules, thresholds, exception handling, responsibilities, evidence, review cycle, and appendices.
Usando "data-standardization-expert". Assess whether we should join an association standard project.
Resultado esperado:
Evaluate strategic relevance, technical contribution, participation terms, total cost, staff capacity, publication rights, evidence of participation, and reputational risk before approval.
Auditoria de segurança
SeguroAll 12 static findings are false positives caused by documentation paths, Markdown code spans, attribution links, Chinese text, or CRLF formatting. The reviewed files contain no executable commands, network requests, encoded payloads, prompt injection, or other semantic security concerns.
Fatores de risco
📁 Acesso ao sistema de arquivos (2)
⚙️ Comandos externos (3)
🌐 Acesso à rede (2)
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<a href="https://skillstore.io/skills/dhturing-data-standardization-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-standardization-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Cartão incorporável
<iframe src="https://skillstore.io/embed/skills/dhturing-data-standardization-expert.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Citações acadêmicas (APA · BibTeX · CFF)
Citação APA
图灵数盟. (2026). data-standardization-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-standardization-expert/audits/1Citação BibTeX
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author = {图灵数盟},
title = {data-standardization-expert security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dhturing-data-standardization-expert/audits/1},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "data-standardization-expert security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "图灵数盟"
date-released: "2026-09-27"
url: "https://skillstore.io/skills/dhturing-data-standardization-expert/audits/1"
identifiers:
- type: other
value: "skillstore:dhturing-data-standardization-expert:audit:1"
description: "Skillstore immutable audit report identifier"
Pontuação do Skillstore
Por que esta pontuação Confiança das evidências: MédioO que você pode criar
Build an applicable standards map
Classify relevant standards, explain their purpose, and rank implementation priorities for a data governance program.
Draft an enterprise data standard
Create a review-ready structure for terminology, data quality, classification, registration, or management requirements.
Assess association standard participation
Evaluate participation routes, expected evidence, responsibilities, costs, timelines, and reputational risks.
Teste estes prompts
List standards relevant to [business scenario]. Group them by data elements, datasets, business terms, and management. Explain priority and applicability.
Compare our current practice [describe practice] with [named standard]. Create a gap list with evidence needed, priority, owner, and recommended action.
Draft an enterprise standard for [topic] using the documented GB/T 1.1 structure. Include scope, terms, requirements, methods, evidence, and appendices.
Design a phased standards program for [organization]. Cover governance, applicable standards, implementation, conformity assessment, association participation, deliverables, dependencies, and risks.
Boas práticas
- Confirm each standard's status, scope, and effective date with an authoritative source.
- Separate mandatory obligations, voluntary guidance, contractual commitments, and internal policy.
- Attach owners, evidence, review criteria, and realistic milestones to every implementation action.
Evitar
- Do not treat a standards list as proof of operational compliance.
- Do not claim certification, legal approval, or official endorsement without valid evidence.
- Do not join a drafting project only for attribution without meaningful technical contribution.
Perguntas frequentes
What types of standards can this skill organize?
Can it draft a complete enterprise standard?
Does it confirm that a standard is current?
Can it certify compliance?
How does it support association standard participation?
What information produces the best result?
Detalhes do desenvolvedor
Autor
图灵数盟Licença
MIT
Revisão da Skillstore
r1
Aviso de versão
O autor não declarou uma versão.
Referência
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
Atualidade da manutenção
30/09/2026
Uso
0 downloads · 0 visualizações
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