The global skills and competency framework for the digital world

Data management DATM

The management of practices and processes to ensure the security, quality, integrity, safety and availability of all forms of data and data structures that make up the organisation’s information. The management of data and information in all its forms and the analysis of information structure (including logical analysis of taxonomies, data and metadata). The development of innovative ways of managing the information assets of the organisation.

Moving to SFIA 8

There is an updated version of this skill for SFIA 8.

  • Levels 2 and 3 have been updated and moved to the new skill called Data engineering DENG
  • The skill descriptions have been edited for readability and guidance notes have been added
  • Details available here - SFIA 8 Data management
  • SFIA 7 skill descriptions will remain available for you to use
  • Previous SFIA assessments may be impacted by this change.

Levels of responsibility for this skill

2 3 4 5 6

Data management: Level 1

This skill is not typically observed or practiced at this level of responsibility and accountability.

Data management: Level 2

Assists in providing accessibility, retrievability, security and protection of data in an ethical manner.

Data management: Level 3

Applies ethical and robust techniques in the transformation of data from one format/medium to another, in line with organisational policies and procedures and being sensitive to risks around the use of information.

Data management: Level 4

Takes responsibility for the accessibility, retrievability, security, quality, retention and ethical handling of specific subsets of data. Assesses the integrity of data from multiple sources. Provides advice on the transformation of data/information from one format or 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. Manipulates specific data from information services, to satisfy defined information needs.

Data management: Level 5

Devises and implements master data management processes, including classification, security, quality, ethical principles, retrieval and retention 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 which might prevent the organisation from making maximum use of its information assets.

Data management: Level 6

Derives an overall strategy of master data management, within an established information architecture, 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. Takes overall responsibility for planning effective data storage, security, quality, sharing, availability, retention and publishing within the organisation. Plans, establishes and manages processes for regular and consistent access to, and independent validation of external information from multiple sources.

Data management: Level 7

This skill is not typically observed or practiced at this level of responsibility and accountability.