Data checks automate the validation of a specific condition, based on its configuration, against one or more features.
Reviewer rules are pre-configured checks that validate features based on specific conditions. They can include checks that validate spatial relationships, attribute consistency, feature integrity, and metadata content. Reviewer rules are authored using ArcGIS Pro and stored in a map that contains the feature layers to be validated. To validate the features in your map use the Run Rules command.
Reviewer batch jobs
Reviewer batch jobs are containers for configured ArcGIS Data Reviewer checks. They can include checks that validate spatial relationships, attribute consistency, feature integrity, and metadata content. Batch jobs are authored using ArcMap and stored in .rbj files that can be added to a project. You can run a batch job to validate your data using the Execute Reviewer Batch Job geoprocessing tool.
Data quality management
Data quality management provides tools to assist in the successful delivery of products and services by standardizing processes and increasing workflow efficiencies.
Life cycle phase
Life cycle phase describes a result's state within the quality assurance (QA) or quality control (QC) process. There are three phases in a result's life cycle: Review, Correction, and Verification. Status information provides more information on how a record has been reviewed, corrected, or verified, and includes who has moved the record to a new phase and when.
A result represents a feature or row that has been marked as an anomaly by data validation or manual inspection. It contains information about what that anomaly is and may include a geometry.
A Reviewer workspace is a geodatabase that contains the tables and feature classes needed to store data validation results.
A session organizes results discovered from automated validation and visual inspection. Sessions define a series of validation and quality control transactions performed by data checks or manual review. Sessions are stored in a Reviewer workspace, and are a resource in projects to facilitate data correction tasks.
Validation is the process, using formal methods, to detect anomalies with features, attributes, and relationships in a geodatabase.