Skill 详情

806-regulations-eu-data-act

Relevant to data-platform interoperability and data-sharing controls, but primarily legal/compliance engineering.

匹配类型可能匹配已针对 数据工程师 审核
来源jabrena/plinth外部来源
报告安装量96仅表示受欢迎程度

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SKILL.md

这段内容是审核时保存的快照。外部来源才是完整且最新的版本。

---
name: 806-regulations-eu-data-act
description: Use when reviewing, designing, or modifying Java enterprise systems that expose, exchange, store, process, export, or port data across users, businesses, connected products, cloud providers, APIs, event streams, AI data pipelines, data spaces, or SaaS platforms and need EU Data Act engineering controls. This should trigger for requests such as Review a Java platform for EU Data Act controls; Design data access and portability evidence; Add data-sharing request workflows, export formats, interoperability, metadata, audit logs, cloud-switching support, non-personal data safeguards, or trade-secret handoffs; Assess Data Act engineering readiness before production release. Part of Plinth Toolkit
license: Apache-2.0
metadata:
  author: Juan Antonio Breña Moral
  version: 0.18.0
---
# EU Data Act Regulation for Java Enterprise Data Access and Portability Engineering

Use this Skill to review Java enterprise applications, SaaS platforms, APIs, data pipelines, connected-product integrations, event-driven systems, data spaces, and cloud services that may require EU Data Act-aware engineering controls.

Apply this Skill to determine what engineering controls, operational evidence, and owner handoffs are needed before a system exposes data access, data-sharing, export, portability, interoperability, cloud-switching, non-personal data, or data-processing-service workflows.

This Skill is not legal advice. It helps Java engineers, architects, tech leads, platform teams, data-governance teams, and reviewers identify where Data Act concerns may apply and how to translate those concerns into enterprise architecture controls such as data inventories, access authorization, user and recipient request workflows, machine-readable export formats, metadata, API quality of service, audit logs, cloud-switching support, interoperability evidence, non-personal data safeguards, trade-secret or sensitive-data handoff, contract evidence, and operational controls for data access requests.

The purpose of this Skill is to increase awareness of potential gaps in the system and create engineering evidence for qualified review. The response produced by this Skill does not represent legal advice, a legal opinion, or a final regulatory determination.

The main question is:

> When does a Java enterprise system require EU Data Act-aware data access, sharing, portability, interoperability, or cloud-switching controls, and what should developers build differently?

External reference: [Regulation (EU) 2023/2854 Data Act](https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:32023R2854).

EU Data Act chapters summary reference: [EU Data Act chapters summary](references/806-regulations-eu-data-act-chapters-summary.md).

Java engineering examples reference: [EU Data Act engineering examples](references/806-regulations-eu-data-act-engineering-examples.md).

Report template asset: [EU Data Act engineering review report template](assets/reports/806-eu-data-act-engineering-review-report-template.md).

## Scope

This Skill applies to:

- Java systems that expose, exchange, store, process, export, port, or derive data through REST APIs, GraphQL APIs, Kafka topics, batch exports, object storage, data lakes, SaaS APIs, data spaces, connected-product integrations, or cloud services
- Spring Boot, Quarkus, Micronaut, and framework-agnostic Java services with user-facing data access, third-party sharing, export, portability, interoperability, cloud-switching, or non-personal data governance requirements
- Systems with data holder, user, data recipient, third-party recipient, public-sector exceptional-need, data processing service, data-space participant, smart-contract, or provider-switching signals
- Data access request workflows, authorization checks, consent and entitlement evidence, API quality-of-service records, export jobs, schema registries, metadata catalogs, audit logs, retention and deletion controls, and prov
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