Data management DATM
(unchanged)
Developing and implementing plans, policies, and practices that control, protect and optimise the value of data assets.
This is a prototype for SFIA 9. It is subject to change before publication.
Guidance notes
(modified)
Activities may include — but are not limited to:
- managing data and information in all its forms
- analysing information structures including — but not limited to — logical analysis of taxonomies, data and metadata
- developing plans, policies and practices related to areas including — but not limited to — classification, storage, security, quality, sharing, availability, retrieval, retention and publishing
- ensuring data is appropriately stored and archived, in line with relevant legislation
- implementing data management practices for cloud-based services
- applying ethical principles when handling data.
Levels
| Defined at these levels: | 4 | 5 | 6 |
Click to learn why SFIA skills are not defined at all 7 levels.
Data management: Levels 1-3
This skill is not typically observed when working at these levels of responsibility.
Data management: Level 4
(modified)
Devises and implements master data management processes for specific subsets of data.
Assesses the integrity of data from multiple sources.
Provides advice on the transformation of data from one format/medium to another. Maintains and implements data handling procedures.
Enables the availability, integrity and searchability of data through the application of formal data and metadata structures and protection measures.
Data management: Level 5
(modified)
Devises and implements master data management processes.
Derives data management structures and metadata to support consistency of data retrieval, combination, analysis, pattern recognition and interpretation, throughout the organisation.
Plans effective data storage, sharing and publishing within the organisation. Independently validates external information from multiple sources.
Assesses issues that might prevent the organisation from making maximum use of its information assets. Provides expert advice and guidance to enable the organisation to get maximum value from its data assets.
Data management: Level 6
(modified)
Derives an overall strategy of master data management that supports the development and secure operation of data and digital services.
Develops organisational policies, standards, and guidelines for data management, aligned with ethical principles.
Plans, establishes and manages processes for regular and consistent access to external data sources from multiple sources and for independent validation of that data.
Data management: Level 7
This skill is not typically observed when working at this level of responsibility.