Training Series Data Management for Administration - Maintaining Data

Data quality is a fundamental prerequisite for ensuring that information within an administrative context can be reliably utilized, shared, and analyzed. This online module focuses on identifying common sources of error during data entry and maintenance, as well as introducing simple standards for improving data quality.

Using practical examples, the module demonstrates how incomplete, inconsistent, or difficult-to-analyze data can lead to increased workload in day-to-day operations. It also explores how tables and Excel files can be structured to enhance their machine readability and facilitate subsequent processing.

Participants will gain an overview of fundamental quality criteria and learn how clear rules, consistent formats, structured tables, and simple validation mechanisms can help make data more reliable and usable in the long term.

Contents:

• Fundamentals of data quality in daily administrative work
• Common sources of error in data entry and maintenance
• Machine readability as a prerequisite for analysis and further processing
• Simple standards for consistent and more usable data
• Practical examples for improving table and data structures
• Guidelines for sustainable data maintenance within a team

Objective:
To better assess data quality and learn simple measures for making data more reliable, consistent, and suitable for further processing.

Target group:
Employees of the local and state administration in Brandenburg and Berlin

Data Management for Administration Training Series

• November 3, 2026   | 1 p.m. – Understanding data
• November 17, 2026 | 1 p.m. – Structure data
• December 1, 2026   | 1 p.m. – Maintain data
• December 15, 2026 | 1 p.m. – Manage data