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Get started with ArcGIS Data Reviewer

The ArcGIS Data Reviewer server extension provides a comprehensive set of quality control (QC) capabilities, with the ArcGIS Pro runtime-based attribute rules, that enable an efficient and consistent data review process. The following are Data Reviewer server extension workflows that are supported with ArcGIS Pro attribute rules.

Automated data review

Automated data review evaluates a feature's quality without human intervention. Data Reviewer includes a library of configurable checks that allow you to validate data based on your quality requirements. Data Reviewer checks are designed to assess various aspects of a feature's quality, including its attribution, integrity, or spatial relationship to other features. Data Reviewer automated checks are configurable and do not require specialized programming skills to implement. In many cases, GIS professionals with a good understanding of their data's quality requirements can implement automated review with minimal training.

Validation-enabled services allow clients to implement automated data review using attribute rules created with Data Reviewer checks. These services leverage ArcGIS Server to carry out automated review using an organization's on-premise or cloud-hosted infrastructure. In a production environment, automated review can be triggered on an as-needed basis to support ad hoc assessment of data quality as a component of a data management workflow.

To learn more about using Data Reviewer automated workflows for assessing data review, refer to the following topics:

Error management

Data Reviewer allows management of errors from detection through correction and verification. These capabilities improve data quality by identifying the source, location, and cause of the errors. Costs are reduced and duplicated work is avoided by providing insight into how the error was detected, who corrected it, and whether the correction has been verified as acceptable.

Errors detected during the data review process are tracked throughout a defined life cycle process. This process includes three phases: Review, Correction, and Verification.

Reviewer life cycle phases

Each phase contains one or more status values that describe the actions taken as the error progresses from one phase to another.

In attribute rule-based workflows, errors are stored in the geodatabase in a series of system maintained tables. Errors are accessed using the Error Inspector pane, which provides tools for reporting, navigation, and selection of features that facilitate error correction.

To learn more about using Data Reviewer error management workflows, refer to the following topics: