Data management DATM
Developing and implementing plans, policies, and practices that control, protect and optimise the value of data assets.
Updates for SFIA 9
- There is an updated version of this skill for SFIA 9.
- Theme(s) influencing the updates for this skill: Continued refinement for data and analytics skills, Application of SFIA skills for digital health, Making SFIA easier to consume (enhance readability/guidance/descriptions), Making SFIA easier to consume (new levels).
- New level 2 added to support entry-level roles.
- New levels have been added at levels 2 and 3.
- Readability improvements have been made to levels 4, 5, and 6.
- You can move to SFIA 9 when you are ready - SFIA 8 skill descriptions will still be available to use.
- Previous SFIA assessments or skills mapping may be impacted by this change.
Guidance notes
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 innovative ways of managing the information assets of the organisation
- 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 of responsibility for this skill
| 4 | 5 | 6 |
Data management: Levels 1-3
This skill is not typically observed or practiced at these levels of responsibility and accountability.
Data management: Level 4
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 information handling procedures.
Enables the availability, integrity and searchability of information through the application of formal data and metadata structures and protection measures.
Data management: Level 5
Devises and implements master data management processes.
Derives data management structures and metadata to support consistency of information 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
Derives an overall strategy of master data management that supports the development and secure operation of information 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 information from multiple sources and for independent validation of that information.
Data management: Level 7
This skill is not typically observed or practiced at this level of responsibility and accountability.