Hacktoberfest 2026: los issues que los mantenedores marcaron para octubre, abiertos y aptos para principiantes. Explorar issues de Hacktoberfest

Define Data Compliance Governance Strategy

Abierto
  • ¿Algo no está bien?
#360 0 comentarios 0 reacciones 0 asignados Ver en GitHub

Nadie ha tomado este issue todavía.

Evaluación

Dificultad
5/5
Tiempo estimado
Más de una semana
Aptitud para principiantes
25/100
Tipo de issue
Documentación
Claridad
Necesita aclaración
Estado de actividad
Tranquilo
Área
data, documentation, security

Línea de trabajo

No se han identificado archivos del repositorio, pruebas ni puntos de entrada. Comienza por organizar las áreas indicadas —recopilación de datos, procesamiento de datos, salvaguardas y la estrategia de PII— y, a continuación, documenta el alcance acordado, los riesgos, las suposiciones, la justificación, las carencias y los cambios de seguimiento priorizados como la estrategia de gobernanza.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

WP3

Summary
This task is primarily about establishing governance rather than implementing technical changes. The objective is to define what compliance means for our data pipeline, make our decisions explicit, and document the rationale behind them. Any resulting technical work should be driven by these governance decisions.

Goal

  1. Define what compliance means for our project and agree on its scope.
  2. Establish realistic compliance objectives for data at our scale, recognising that "ensuring compliance" is not a practical goal. Instead, define:
  • The boundaries we set for ourselves.
  • What we consider acceptable risk.
  • How we demonstrate that we have taken reasonable and proportionate measures.
  1. Document the governance decisions so they can be consistently applied and justified.

Areas to Define

  1. Data collection requirements
    Document the policies governing data collection, including topics such as:
  • Accepted licence types.
  • Dataset inclusion/exclusion criteria.
  • Provenance requirements.
  • Any other collection constraints.
  1. Data processing requirements
    Document how we handle sensitive data and the reasoning behind our approach. For example:
  • Our current PII strategy (e.g. not masking names).
  • Whether this is an intentional policy decision.
  • The rationale behind the decision, such as balancing privacy considerations against data quality.
  • Any accepted limitations or trade-offs.

As part of this work, we may also assess our current PII strategy against the latest EDPB anonymisation guidelines to understand where our approach aligns or diverges, and document the reasoning.

Dependencies

Safeguards
Identify and document any organisational or technical safeguards that support the overall governance strategy.

Expected Outcomes

  • A documented compliance governance strategy.
  • Clear documentation of current policies, assumptions, and justifications.
  • Identified gaps between the current implementation and the agreed governance.
  • A prioritised list of technical changes required to align the data pipeline with the agreed policies.

Notes
Governance comes first, but it will naturally result in technical work. For example, decisions to revise licence policies, strengthen provenance requirements, or update the PII strategy will likely require changes to the data pipeline.

The priority for this task is not to redesign the pipeline immediately, but to clearly document our current approach and ensure we can consistently explain and justify our decisions if they are challenged.

Once the governance framework is established, future data iterations should largely consist of verifying that the pipeline continues to adhere to the agreed policies, with only incremental updates as needed.

Lenguaje dominante
Sin datos de lenguaje
Estrellas
3
Forks
0
Sin PR fusionados en 30 d

Preparar el entorno

Este proyecto no incluye contenedor de desarrollo, Dockerfile ni guía de contribución, así que la configuración corre por tu cuenta: empieza por su README y consulta nuestra guía para la primera contribución para los pasos generales.

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

Más de OpenEuroLLM/Taskboard

Todos los issues de OpenEuroLLM/Taskboard

Issues similares

Más issues de Data Engineering

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.