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Data preparation and linkage

Data preparation and linkage involves cleansing, modelling, transforming and assuring the quality of data so that it is usable and reproducible.

UK GDaD PCF에서 인용.

수준

1. 인지

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. 실무

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. 실천가

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. 전문가

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.

가장 가까운 ESCO 스킬

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

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