Harmonization Dictionary for Payroll and HRMIS Data
dictionary.RdA dictionary defining the standardized variables, descriptions, data types, module assignments, and permissible values used in the GovHR harmonization framework.
Format
A tibble with 50 rows and 6 variables:
- variable_name
Character. Human-readable name of the standardized variable.
- variable_id
Character. Standardized machine-readable variable identifier.
- variable_description
Character. Definition and intended use of the variable.
- variable_class
Character. Expected R class for the variable.
- module
Character. Harmonization module to which the variable belongs.
- values
Character. Expected values, formats, coding schemes, or controlled vocabularies associated with the variable.
Source
Created and maintained by the Public Institutions Data and Analytics Unit (EGVPI) of the World Bank as part of the GovHR harmonization framework.
Details
This dictionary serves as the authoritative data standard for harmonizing payroll and Human Resource Management Information System (HRMIS) data from government institutions into a consistent, analysis-ready structure. Each row represents a standardized variable and provides its identifier, definition, expected data type, module assignment, and expected values or coding scheme where applicable.
The dictionary is used throughout the harmonization pipeline to map raw source variables from government payroll and HRMIS systems to a common schema, enabling cross-country comparability and reproducible analytics.
The dictionary contains the following fields:
variable_name – Human-readable name of the standardized variable.
variable_id – Machine-readable variable identifier used in harmonized datasets.
variable_description – Definition and intended use of the variable.
variable_class – Expected R data type for the variable.
module – Harmonization module to which the variable belongs (e.g., Establishment, Personnel, or Contract).
values – Expected values, formats, coding schemes, or controlled vocabularies associated with the variable.
This dictionary is designed to support:
Validation of required variables and schema compliance;
Standardized renaming of source variables;
Data type coercion and consistency checks;
Generation of harmonized module-specific outputs;
Documentation and governance of the GovHR data standard.