data-value-monetization-team
78Create a Data Monetization Plan
Data teams often struggle to connect data assets to validated revenue opportunities. This skill provides a structured, auditable path from value discovery to monetization operations.
Govern Data Resources for Asset Readiness
Scattered data lacks ownership, quality evidence, and consistent classification. This skill applies DCMM-based methods to create practical governance plans and deliverables.
Copie esta solicitação para o seu Agente. Ela inclui a página canônica do Skill e o manifesto.
Review the Skillstore skill "data-resource-governance-expert" from https://skillstore.io/skills/dhturing-data-resource-governance-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-resource-governance-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.
Use estes links quando um agente de IA, crawler ou script precisar de contexto limpo em vez de ler a página completa.
Usando "data-resource-governance-expert". Our customer data spans CRM, billing, and support systems. What should we inventory first?
Resultado esperado:
Usando "data-resource-governance-expert". How should responsibility be assigned for product master data?
Resultado esperado:
Assign a business owner for policy, a steward for definitions and quality, and a custodian for technical controls. Name accountable roles and evidence.
Usando "data-resource-governance-expert". What should a DCMM gap summary contain?
Resultado esperado:
Include domain scores, cited evidence, missing controls, business impact, target maturity, accountable owners, recommended actions, dependencies, and review dates.
All 12 static findings are false positives caused by documented installation paths, Markdown formatting, public homepage links, or multilingual plain text. No command execution, network request, obfuscated payload, prompt injection, or harmful intent was found.
Compartilhe o relatório de avaliação versionado, o badge neutro, o cartão incorporável e as citações. A Skillstore apresenta evidências sem decidir se este Skill é seguro.
https://skillstore.io/skills/dhturing-data-resource-governance-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/dhturing-data-resource-governance-expert?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/dhturing-data-resource-governance-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-resource-governance-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/dhturing-data-resource-governance-expert.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>图灵数盟. (2026). data-resource-governance-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-resource-governance-expert/audits/1@techreport{dhturing-data-resource-governance-expert-2026,
author = {图灵数盟},
title = {data-resource-governance-expert security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dhturing-data-resource-governance-expert/audits/1},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "data-resource-governance-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-resource-governance-expert/audits/1"
identifiers:
- type: other
value: "skillstore:dhturing-data-resource-governance-expert:audit:1"
description: "Skillstore immutable audit report identifier"
Define a focused governance scope, inventory plan, deliverables, responsibilities, and schedule for data intended for accounting, valuation, or exchange.
Structure evidence collection across eight capability domains, score current practices, identify gaps, and prioritize a practical improvement roadmap.
Draft catalogs, responsibility matrices, classification tables, quality rules, metadata requirements, and lifecycle procedures for review.
Help me scope a data inventory for [business area]. List required inputs, interview roles, inventory fields, and first-week deliverables.
Create an owner, steward, and custodian matrix for [data domains]. Define decisions, operating duties, approvals, evidence, and escalation paths.
Assess our evidence against DCMM eight domains. Show assumptions, provisional scores, evidence gaps, priority risks, and a phased improvement roadmap.
Design governance for [data assets] supporting [accounting, valuation, or exchange]. Integrate cataloging, lineage, classification, quality, ownership, controls, acceptance criteria, and handover.
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
Estrutura de arquivos
Create a Data Monetization Plan
Data teams often struggle to connect data assets to validated revenue opportunities. This skill provides a structured, auditable path from value discovery to monetization operations.
Design a Trusted Data Space
Trusted data space projects often fail through weak demand, governance, or participation. This skill provides structured assessment, architecture, rules, rollout, and operating guidance.
Discover and Prioritize Data Use Scenarios
Organizations often overlook valuable uses for data they already hold. This skill scans industries, ranks opportunities, and defines evidence needed for validation.
Manage the Full Data Asset Lifecycle
Data asset programs often lack connected policies, ownership, workflows, and measurable controls. This skill designs a practical lifecycle system from planning through disposal and oversight.
Assess Energy Data Asset Opportunities
Energy data projects often lack clear compliance gates and measurable value. This skill structures classification, cash-flow evidence, accounting coordination, and commercialization options.
Assess Seed Industry Data Assets
Seed data projects face complex germplasm, ownership, important-data, and approval requirements. This skill structures assessments and assetization plans before valuation or RWA work begins.
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