ArcGIS Data Reviewer

ArcGIS Data Reviewer is an extension of the ArcGIS product suite developed by Esri that allows users to produce high-quality maps by providing a complete system for automating and simplifying data quality control. Data Reviewer incorporates a series of tools that support both automated and visual analysis of data to facilitate the resource-intensive process for data quality control. The tools provided can be used to detect anomalies with the features, attributes, and relationships in the database.

With ArcGIS Data Reviewer, users can:


 * Automatically detect errors in data
 * Improve visual data review
 * Coordinate the data review effort
 * Track and communicate the data quality control process using automated checks
 * Log review results easily and accurately
 * Schedule data checks using the reviewer service
 * Generate random samples for quality control
 * Integrate quality control into business processes

Analyzing Data in ArcGIS Data Reviewer
Quality control checks are tools provided by Data Reviewer to simplify the process of analyzing and maintaining data quality. For instance, detecting a building in the ocean would most likely be an error identified as part of quality control. While detecting a building within a 100-year flood zone may not be an error, it could be useful analytic information to an insurance adjuster. The checks allow the monitoring of both types of analysis.

Spatial checks




Spatial checks analyze the features in terms of spatial relationship. This type of checking evaluates the features to detect features that are overlapping, intersecting, adjoining or if the features are within a specified distance with one another. Instances of spatial checking include, analyzing whether railway tracks can be built at certain locations as well as analyzing the distance between oil pipelines and pump stations.

Attribute checks
Attribute checks analyze the attribute values of features and tables. Attribute checking can be utilized for evaluating simple field validation tasks similar to a geodatabase domain, or more complex attribute dependencies. Most features generally have one attribute that is dependent on another attribute of the same feature. For instance, when a section of a railway track is undergoing maintenance work, it cannot be accessed. An attribute check can be configured to monitor the status and accessibility of the track.

Feature integrity checks
Feature integrity checks analyze the properties of features. Not all features in a database follow the same capture criteria. The database may contain predefined collection rules that state certain conditions such as the distance between two vertices or whether multipart features are allowed. By running the feature integrity check, it helps in ensuring that the collection rules are followed for each feature class. For instance, the Cutbacks check is used to identify features that contain sharp angles.

Metadata checks
Metadata checks analyze the metadata information of the feature datasets and feature classes. Metadata can contain critical information about the source used to collect the derived data, which can greatly affect the reliability of the data. For instance, the date range of source data used could significantly impact the accuracy of maps produced and the analysis performed using the data.

Managed data reviews
Managed review of data is an effective feature in the Data Reviewer that helps users to complete data analysis. Whether reviewing the data visually or through automated checks, it is important to understand the integrity of the entire database. Polygon grids can be created over the data with an arbitrary cell size specified by a number of rows and columns or map units. The Reviewer Overview window can be then used with the grid to navigate to specific cells to run batch jobs or to visually review the data. Once the data has been reviewed, the status of the cell can be changed to monitor which areas have been completed.

Interactive analysis tools
Interactive analysis tools help users present detailed specifications about missing features and features with inaccurate shapes. Use the Notepad or Flag Missing Feature tools to capture a sketch to provide specific geometric information about the feature that is in question.

System Requirements
ArcGIS Data Reviewer is available for recent versions of Windows. For further information on system requirements, refer to the ArcGIS 10.2 System Requirements page.