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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Pruébalo
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.
Auditoría de seguridad
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.
Factores de riesgo
📁 Acceso al sistema de archivos (2)
⚙️ Comandos externos (3)
🌐 Acceso a red (2)
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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/1Cita BibTeX
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author = {图灵数盟},
title = {data-standardization-expert security audit report (audit version 1)},
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number = {1},
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note = {Author version unspecified}
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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"
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Puntuación de Skillstore
Por qué esta puntuación Confianza de la evidencia: MedioLo que puedes crear
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.
Prueba estos 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.
Mejores prácticas
- 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.
Preguntas frecuentes
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?
Detalles del desarrollador
Autor
图灵数盟Licencia
MIT
Revisión de Skillstore
r1
Aviso de versión
El autor no declaró una versión.
Ref.
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
Actualidad del mantenimiento
30/9/2026
Uso
0 descargas · 0 vistas
Estructura de archivos