Data checks automate the validation of a specific condition, based on its configuration, against one or more features.
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.
Data validation is the process of using formal methods to detect anomalies with features, attributes, and relationships in a database.
Error life cycle phase
Error life cycle phase describes an error result's state within the quality assurance (QA) or quality control (QC) process. There are three phases in an error result's life cycle: review, correction, and verification. Status information provides updates on how a record has been reviewed, corrected, or verified, and includes who changed the error to a new phase and when.
An error 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.
Reviewer batch jobs
Reviewer batch jobs are containers for configured ArcGIS Data Reviewer data checks. They can include checks that validate spatial relationships, attribute consistency, feature integrity, and metadata content. Batch jobs are created in ArcMap and stored as .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.
Reviewer rules are preconfigured checks that validate aspects of a feature's quality. These include checks that validate spatial relationships, attribute consistency, feature integrity, and metadata content. Reviewer rules are created in ArcGIS Pro and stored in a map or an enterprise geodatabase that contains the features to be validated.
A session organizes error results discovered during automated validation or 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.
A Reviewer workspace is a geodatabase that contains the tables and feature classes needed to store error results created using Data Reviewer tools during the data validation process.