Data management DATM

(modified)

The development and implementation of plans, policies, and practices that deliver, control, protect and optimise the value of data assets.

Guidance notes

Data management covers a wide range of technical and non-technical activities. Including - but not limited to ...

  • management of data and information in all its forms
  • analysis of information structures - including but not limited to - logical analysis of taxonomies, data and metadata
  • development of innovative ways of managing the information assets of the organisation.
  • plans policies and practices related to areas such as - but not limited to - classification, storage, security, quality, sharing, availability, retrieval, retention and publishing.
  • application of ethical principles in handling data

Data management: Level 6

(modified)

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, and independent validation of external information from multiple sources.

Data management: Level 5

(modified)

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 which might prevent the organisation from making maximum use of its information assets.

Data management: Level 4

(modified)

Takes responsibility for the 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. Manipulates specific data from information services, to satisfy defined information needs.

Data management: Level 3

(modified)

Applies agreed standards and tools to transform data from one format/medium to another. Takes into account known risks in the use of information.

Data management: Level 2

(modified)

Receives and responds to routine data management requests. Assists in providing accessibility, retrievability, security and protection of data in an ethical manner.