Data preparation and linkage

Citée du UK GDaD PCF.

Niveaux

1. Sensibilisation

You can:

• explain the importance of data models and their uses
• identify appropriate channels in your organisation to learn about data modelling and quality standards
• identify data quality issues and provide possible solutions to resolve them
• prepare and cleanse data under supervision, contributing to making it fit for purpose

2. Pratique

You can:

• support the planning of a data model based on appropriate data sources
• help ensure new and existing data models and pipelines can be reused or reproduced
• identify and resolve data quality issues
• prepare and cleanse data, ensuring it is fit for purpose

3. Confirmé

You can:

• plan the framework of an analytical data model based on appropriate data sources
• support the implementation of data models using appropriate tools and systems
• ensure your team understands the importance of data quality and modelling

4. Expert

You can:

• develop analytical data models using a deep understanding of data sources
• ensure data models are implemented using tools and systems that align with modelling standards
• set data quality standards in the organisation or beyond, and ensure stakeholders understand their importance
• mentor others in data quality and modelling

Contains public sector information from the UK Government Digital and Data Profession Capability Framework (https://understand-digital-data-roles-skills.service.gov.uk/), licensed under the Open Government Licence v3.0. © Crown copyright.

Compétences ESCO les plus proches

• use data processing techniques (correspondance proche)
• perform data cleansing (correspondance étroite)
• integrate ICT data (correspondance étroite)

Contains ESCO v1.2.1 data (https://esco.ec.europa.eu/). © European Union. Reuse authorised under Commission Decision 2011/833/EU.

Niveaux de rôle qui attendent cette compétence