Revise company definition of data as defined in data dictionary.

“Revise company definition of data as defined in data dictionary.” is a core task performed by Database Administrators. Among the occupation's 18 rated tasks, workers place it 1st by importance (#18 most important). About 83% of workers say it is relevant to their job.

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Design databases. in Thinking Creatively

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E1. Direct exposure — a language model could plausibly cut the time to do this task by at least half.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 1.00. Automation potential label: T2.

How AI is actually used on this kind of task

The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.

• 83% of that use is work-related
• 94% of interactions still needed a human in the loop

Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.

Other tasks in this occupation

• Modify existing databases and database management systems or direct programmers and analysts to make changes. · importance 4.0
• Plan, coordinate, and implement security measures to safeguard information in computer files against accidental or unauthorized damage, modification or disclosure. · importance 3.9
• Plan and install upgrades of database management system software to enhance database performance. · importance 3.9
• Specify users and user access levels for each segment of database. · importance 3.8
• Test changes to database applications or systems. · importance 3.8
• Test programs or databases, correct errors, and make necessary modifications. · importance 3.7
• Train users and answer questions. · importance 3.6
• Provide technical support to junior staff or clients. · importance 3.5
• Approve, schedule, plan, and supervise the installation and testing of new products and improvements to computer systems, such as the installation of new databases. · importance 3.5
• Develop standards and guidelines for the use and acquisition of software and to protect vulnerable information. · importance 3.4
• Write and code logical and physical database descriptions and specify identifiers of database to management system, or direct others in coding descriptions. · importance 3.1
• Develop data model describing data elements and how they are used, following procedures and using pen, template, or computer software. · importance 3.1
• Select and enter codes to monitor database performance and to create production database. · importance 3.1
• Identify, evaluate and recommend hardware or software technologies to achieve desired database performance. · importance 3.0

See all tasks on the Database Administrators page.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-1315,
  title  = {Revise company definition of data as defined in data dictionary.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-1315}
}