Description
Oversee the classification system an organisation uses to organise its data. Assign an owner to each data concept or bulk of concepts and determine the value of each item of data.
Alternative labels
Skill type
skill/competence
Skill reusability level
sector-specific
Relationships with occupations
Essential skill
Manage ICT data classification is an essential skill of the following occupations:
Big data archive librarian: Big data archive librarians classify, catalogue and maintain libraries of digital media. They also evaluate and comply with metadata standards for digital content and update obsolete data and legacy systems.
Chief data officer: Chief data officers manage companies’ enterprise-wide data administration and data mining functions. They ensure data are used as a strategic business asset at the executive level and implement and support a more collaborative and aligned information management infrastructure for the benefit of the organisation at large.
Optional skill
Manage ICT data classification is optional for these occupations. This means knowing this skill may be an asset for career advancement if you are in one of these occupations.
Data scientist: Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
ICT intelligent systems designer: ICT intelligent systems designers apply methods of artificial intelligence in engineering, robotics and computer science to design programs which simulate intelligence including thinking models, cognitive and knowledge-based systems, problem solving, and decision making. They also integrate structured knowledge into computer systems (ontologies, knowledge bases) in order to solve complex problems normally requiring a high level of human expertise or artificial intelligence methods.
Data entry clerk: Data entry clerks update, maintain and retrieve information held on computer systems. They prepare source data for computer entry by compiling and sorting information, process customer and account source documents by reviewing data for deficiencies and verify entered customer and account data.
Data entry supervisor: Data entry supervisors manage the day-to-day operations of data entry staff. They organise the workflow and tasks.Â
References