Available with ArcGIS Pro Standard and Data Reviewer licenses.
- What is ArcGIS Data Reviewer?
- What is the difference between Topology Rules and Data Reviewer?
- Is there a limit to the number of features that can be validated using automated checks?
- What is the difference between Attribute Rules and Data Reviewer?
- Why are some error features removed while others remain in the Error Inspector after I fix the errors in my data?
- How can I reuse my Reviewer Batch Job to create attribute rules?
- What types of features are supported by Data Reviewer checks?
- Can I remove the Validation status field from my data?
ArcGIS Data Reviewer is an extension to ArcGIS Pro and ArcGIS Enterprise that automates, simplifies, standardizes, and improves quality control workflows to enable delivery of geospatial data you can trust. Lower data management costs reduce risk in decision-making through this unified set of capabilities that support detection, management, and reporting of errors in your data.
Geodatabase topology and Data Reviewer are both capabilities that support the creation and management of high-quality data. There are advantages to using both capabilities in data management workflows. A key difference between these capabilities is the aspects of a feature's quality that can be assessed. Data Reviewer checks are used to assess multiple aspects of a feature's quality. This includes the ability to identify data quality issues related to a feature's integrity, attribution, as well as a feature's spatial relationship to other features. For a complete list of Data Reviewer checks, review the ArcGIS Data Reviewer Checks poster.
A geodatabase topology is used to enforce a spatial relationship between features in a geodatabase. This includes assessment of spatial relationships such as overlaps, intersections, and gaps. For a complete list of topology rules, review the ArcGIS Geodatabase Topology Rules poster.
Learn more about the components that define GIS data quality
No, there is no limit to the number of features that can be validated using automated checks.
Note:
The more features and quality checks there are, the longer it may take to validate. In extreme cases, the resulting errors from the validation process could exceed the number of features in the database.
Data Reviewer is an integrated capability in attribute rule-based workflows, that provides a library of no-code, ready-to-use checks that identify common errors found in GIS data. It also provides error lifecycle management to aid in keeping track of errors and the error review process. By comparison, ArcGIS Arcade-based attribute rules can provide more fine-grained control in identifying errors but require familiarity with Arcade.
Why are some error features removed while others remain in the Error Inspector after I fix the errors in my data?
Data Reviewer attribute rule error features remain in the Error Inspector pane after they are fixed for traceability and error lifecycle management. Traceability allows you to track and manage errors throughout the data validation process, ensuring that errors have been properly addressed. The error management process records which errors were identified and fixed, allowing you to track the history of data quality improvements.
The only error features that are removed are Arcade-based attribute validation rules. These errors only persist if the error condition they search for is still present. Once an error is fixed and the validation rules are re-evaluated, the Arcade-based validation errors are removed.
Starting at ArcGIS Pro 3.0, the Export to Attribute Rules tool exports ArcMap-created Reviewer Batch Jobs to validation attribute rules to automate the migration of data validation workflows to ArcGIS Pro and ArcGIS Enterprise.
Legacy:
ArcMap-based Reviewer workflows will soon be deprecated. It is recommended that current users begin converting their workflows from Reviewer batch jobs to Data Reviewer attribute rules.
Data Reviewer checks support the following data types:
- Point Features
- Line Features
- Polygon Features
- Standalone Tables
Data Reviewer-based constraint and validation rules support these feature types in file, mobile, and feature services published from branch versioned enterprise geodatabases. Constraint attribute rules support these feature types in traditional versioned enterprise geodatabases.