{"id":2862352,"date":"2025-07-01T12:30:05","date_gmt":"2025-07-01T19:30:05","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2862352"},"modified":"2025-07-02T09:25:21","modified_gmt":"2025-07-02T16:25:21","slug":"automating-comprehensive-gis-data-quality-control-webinar-qa","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/data-reviewer\/data-management\/automating-comprehensive-gis-data-quality-control-webinar-qa","title":{"rendered":"Automating Comprehensive GIS Data Quality Control Webinar Q&A"},"author":349902,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23851],"tags":[769012,42181,761012],"industry":[],"product":[37001],"class_list":["post-2862352","blog","type-blog","status-publish","format-standard","hentry","category-data-management","tag-arcgis-data-reviewer","tag-arcgis-pro","tag-data-quality-control","product-data-reviewer"],"acf":{"short_description":"Explore questions and answers from our \"Automating Comprehensive GIS Data Quality Control\" Webinar. Watch the recording. ","flexible_content":[{"acf_fc_layout":"kaltura","video_id":"1_kca61hcp","time":false,"start":0,"stop":""},{"acf_fc_layout":"content","content":"

On June 11, 2025, we held a webinar: Automating Comprehensive GIS Data Quality Control.<\/span>\u00a0<\/span><\/p>\n

Tired of spending hours manually reviewing data to identify errors? Explore a deep dive into leveraging ArcGIS Data Reviewer to automate workflows that improve data quality, streamline maintenance, and decrease risk for data consumers.<\/span>\u00a0<\/span><\/p>\n

You can now watch the\u202fwebinar recording (updated to address issues during the live session)\u202fand explore our Q&A from the live session in this blog. If you cannot find the answers you were looking for, please post your questions in the\u202f<\/span> ArcGIS Data Reviewer\u202fQuestions<\/span><\/a> community.<\/span>\u202f<\/span>\u00a0<\/span><\/p>\n

 <\/p>\n

Webinar Questions<\/h2>\n

What is the difference between Topology Rules and ArcGIS Data Reviewer?<\/strong><\/h4>\n

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.<\/p>\n

A key difference between these capabilities is the aspects of a feature\u2019s quality that can be assessed. Data Reviewer checks assess multiple aspects of a feature\u2019s quality that include its integrity, attribution, as well as a feature\u2019s spatial relationship to other features. A geodatabase topology is used to enforce a spatial relationship between features. This includes assessing spatial relationships, such as overlaps, intersections, and gaps.<\/p>\n

 <\/p>\n

Why do some Data Reviewer checks appear to be duplicates of Topology rules?<\/strong><\/h4>\n

Several checks in Data Reviewer superficially appear to be the same as those available as Topology rules. An example of this is the <\/span>Find Dangles<\/span><\/b><\/a> check and the <\/span>Must not have dangles<\/span><\/b> Topology rule. Although similar types of errors can be detected, the <\/span>Find Dangles<\/span><\/b> check distinguishes itself by offering a search distance parameter (Dangle Tolerance) to minimize false positives, as well as allowing the inclusion of additional features (Additional Features to Compare) when determining if a feature is a dangle.<\/span>\u00a0<\/span><\/p>\n

Other implementation differences between the two workflows include:<\/span>\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n
Topology rules<\/span><\/b>\u00a0<\/span><\/td>\nData Reviewer check<\/span><\/b>\u00a0<\/span><\/td>\n<\/tr>\n
Participating data must be in the same feature dataset.<\/span>\u00a0<\/span><\/td>\nParticipating data must be in the same geodatabase.<\/span>\u00a0<\/span><\/td>\n<\/tr>\n
Rules are applied to all features or features in a specified subtype.<\/span>\u00a0<\/span><\/td>\nRules are applied to all features, features in one or more subtypes, or features defined by an attribute filter.<\/span>\u00a0<\/span><\/td>\n<\/tr>\n
Modifies participating data.<\/span>\u00a0<\/span><\/td>\nDoes not modify participating data.<\/span>\u00a0<\/span><\/td>\n<\/tr>\n
Included with the <\/span>Professional<\/span><\/a> user type.<\/span>\u00a0<\/span><\/td>\nAvailable as an add-on to the <\/span>Creator<\/span><\/a> (Run Data Checks) and <\/span>Professional<\/span><\/a> (Attribute Rules) user types and automatically included in the <\/span>Professional Plus<\/span><\/a> user type.<\/span>\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0<\/span><\/p>\n

Why does Data Reviewer have two workflows for assessing data quality?<\/strong><\/h4>\n

Data quality control processes vary according to the specific goals and requirements of the data product. These may range from the quality standards of organizations that manage authoritative data for a nation to students using third-party data in their mapping projects. To accommodate these varying needs, Data Reviewer offers multiple workflows for evaluating data quality.<\/span>\u00a0<\/span><\/p>\n

Interactive or ad hoc workflows facilitated by <\/span>Run Data Checks<\/span><\/a> allow users to quickly assess different aspects of a feature\u2019s quality. Initially released in ArcGIS Pro 3.4, this workflow enables users to interactively author and run automated validation of feature layers in their map. A record for each feature that fails validation is stored in a series of tables within the project\u2019s default geodatabase and returned as a layer in the map to support error correction and reporting. <\/span>\u00a0<\/span><\/p>\n

Data Reviewer’s integration with attribute rules supports organizations with extensive quality requirements by enabling consistent and repeatable workflows. In this workflow, configured Data Reviewer checks support the implementation of both <\/span>constraint<\/span><\/a> and <\/span>validation<\/span><\/a> attribute rules that are applied to feature classes and tables in the geodatabase. Evaluation of a feature\u2019s quality is supported in both ArcGIS Pro and ArcGIS Enterprise, where all rules defined for a given feature are evaluated together. A record for each rule that a feature fails during validation is stored in system-maintained tables within the same geodatabase as the feature and can be viewed in the <\/span>Error Inspector<\/span><\/a>. Error features are tracked through a defined <\/span>life cycle<\/span><\/a> that identifies who found the error, who corrected the error, and who verified that the correction was complete. The centralized storage of rules and errors enables a consistent and repeatable data management approach that improves efficiency, reduces cost, and provides transparency.<\/span>\u00a0<\/span><\/p>\n

 <\/p>\n

When were Run Data Checks introduced?<\/strong><\/h4>\n

The ability to <\/span>evaluate a feature\u2019s quality using <\/span><\/span>Run Data Checks<\/span><\/span><\/a> was first introduced in<\/span> November 2024 with the release of <\/span>ArcGIS Pro 3.4.<\/span> This release included <\/span>8<\/span> of the <\/span>most used<\/span> checks in Data Reviewer.<\/span> In <\/span>May 2025<\/span>,<\/span> the ArcGIS Pro 3.5 release included an <\/span>additional<\/span> 28<\/span> checks <\/span>supporting interactive evaluation of a feature\u2019s quality.<\/span> <\/span>\u00a0<\/span><\/p>\n

 <\/p>\n

What types of geodatabases are supported with Run Data Checks?<\/strong><\/h4>\n

In ArcGIS Pro 3.5,<\/span> <\/span>Run Data Checks<\/span><\/span><\/a> support<\/span>s <\/span>validation of features and rows stored in <\/span>both <\/span>File and Mobile geodatabases.<\/span><\/span>\u00a0<\/span><\/p>\n

 <\/p>\n

Can Run Data Checks evaluate only a subset of features in my feature class or table?<\/span><\/b>\u00a0<\/span><\/h4>\n

Yes. The Run Data Checks workflow supports the ability to evaluate a subset of features in your feature class. This includes evaluating only those features based on a layer\u2019s Definition Query, a selection in the active map, or an attribute filter (Attribute Filter parameter) specified in the Reviewer check.<\/span>\u00a0<\/span><\/p>\n

 <\/p>\n

Can you import Reviewer Batch Jobs (.rbj files) into ArcGIS Pro?<\/strong><\/h4>\n

Yes<\/span>. <\/span>The <\/span><\/span>Export to Attribute Rules<\/span><\/span><\/a> tool<\/span> enables you to convert<\/span> r<\/span>ules stored in a Reviewer Batch Job into <\/span>Reviewer <\/span>\u00a0<\/span>validation<\/span> attribute rules.<\/span> The tool<\/span> generates comma-separated value (.csv) file<\/span>s<\/span> that can be imported as attribute rules.<\/span> A .csv file is generated for each feature class or table that <\/span>contains<\/span> rules referenced in the batch job.<\/span> <\/span>\u00a0<\/span><\/p>\n

 <\/p>\n

Can you run Data Reviewer checks using ArcGIS Enterprise?<\/strong><\/h4>\n

Yes. When <\/span><\/span>shar<\/span>ing <\/span>web feature layers<\/span><\/span><\/a> that <\/span>contain<\/span> validation <\/span>attribute rules, you can enable the Validation capability to<\/span> implement automated review of your data<\/span>.<\/span> Once you publish the feature service, you can <\/span>add the layers to a map and <\/span><\/span>run<\/span> the rules using <\/span>Error Inspector<\/span><\/span><\/span><\/a>,<\/span> utilize<\/span> the<\/span> <\/span>E<\/span>valuate <\/span>R<\/span>ules <\/span>G<\/span>eoprocessing <\/span>T<\/span>ool<\/span><\/span><\/span><\/a> or the<\/span> <\/span>Evaluate REST <\/span>API <\/span>endpoint<\/span><\/span><\/span><\/a>. <\/span><\/span>\u00a0<\/span><\/p>\n

 <\/p>\n

Is it possible to only validate features that have changed in a named version?<\/strong><\/h4>\n

Yes.<\/span> The ability to validate only those features that have been added or modified in a version is supported in w<\/span>eb layers <\/span>that have been shared with the Branch versioning and validation capability enabled<\/span>.<\/span> This option is available in the ArcGIS Pro <\/span><\/span>Error Inspector<\/span><\/span> pane<\/span> when<\/span> evaluating feature layers within ArcGIS Pro<\/span>. Learn more about <\/span><\/span>evaluating rules using the Error Inspector<\/span><\/span><\/a>.<\/span>\u00a0<\/span><\/span>\u00a0<\/span><\/p>\n

 <\/p>\n

What types of geodatabases are supported with Data Reviewer-based attribute rules?<\/strong><\/h4>\n

In ArcGIS Pro 3.5 and ArcGIS Enterprise 11.5, <\/span><\/span>validation<\/span><\/span><\/a> and <\/span><\/span>batch calculation<\/span><\/span><\/a> attribute rules are supported in file, mobile, <\/span>a<\/span>nd feature services published from branch versioned enterprise geodatabases<\/span>. <\/span><\/span>Constraint<\/span><\/span><\/a> and <\/span><\/span>immediate calculation<\/span><\/span><\/a> attribute rules are supported in file, mobile, and enterprise geodatabases (branch, traditional, and non-versioned).<\/span> The flavors of enterprise geodatabases that are supported are SQL Server, Oracle, and Postgres.<\/span><\/span>\u00a0<\/span><\/p>\n

 <\/p>\n

Does Data Reviewer work with hosted feature layers from ArcGIS Online?<\/span><\/b>\u00a0<\/span><\/h4>\n

Data Reviewer-based workflows do not currently support the evaluation of hosted feature layers from ArcGIS Online. The team is conducting a research study to identify use-cases and data quality challenges customers encounter in ArcGIS Online. If you are interested in participating in this research, please contact the team at datareviewer@esri.com.<\/span>\u00a0<\/span><\/p>\n

 <\/p>\n

How is ArcGIS Data Reviewer licensed?<\/strong><\/h4>\n

ArcGIS Data Reviewer is an optional extension to ArcGIS Pro and ArcGIS Enterprise. In ArcGIS Pro, Data Reviewer is available as an add-on to the Creator and Professional user types and is automatically included in the Professional Plus user type. See the <\/span>User Types<\/span><\/a> documentation for more information.<\/span>\u00a0<\/span><\/p>\n

In ArcGIS Enterprise, Data Reviewer is available for the Standard and Advanced editions of ArcGIS GIS Server. The extension is a CPU-based license that is required for each GIS server that is federated with the organization. See the <\/span>ArcGIS GIS Server capabilities and extensions<\/span><\/a> documentation for more information.<\/span>\u00a0<\/span><\/p>\n

 <\/p>\n

For more information on ArcGIS Data Reviewer, please visit the\u00a0product page<\/a>. Did you not find the answer you were looking for? Join us on the Esri Community<\/a>\u00a0to ask your questions there and share your ideas.<\/p>\n"}],"related_articles":"","authors":[{"ID":288792,"user_firstname":"Jay","user_lastname":"Cary","nickname":"Jay Cary","user_nicename":"jcary","display_name":"Jay Cary","user_email":"jcary@esri.com","user_url":"","user_registered":"2021-10-14 16:13:27","user_description":"Jay Cary is a Product Manager in the Esri Professional Services R&D Center. As a product manager at Esri, Mr. Cary is responsible for supporting software product development, marketing, and customer advocacy for multiple product teams. Before joining Esri in 2007, he worked as a program manager with 15+ years of GIS management and consulting experience in both local and federal government sectors.","user_avatar":""},{"ID":386302,"user_firstname":"Jaspar","user_lastname":"Saadi-Klein","nickname":"Jaspar Saadi-Klein","user_nicename":"jsaadiklein","display_name":"Jaspar Saadi-Klein","user_email":"jsaadiklein@esri.com","user_url":"","user_registered":"2025-06-27 15:12:37","user_description":"Jaspar Saadi-Klein is a Product Engineer in the Esri Professional Services R&D Center. As a product engineer at Esri, he supports the ArcGIS Data Reviewer team in designing and testing new software capabilities, documenting new features, and supporting customers in their implementation of ArcGIS. He has a master\u2019s degree in GIS from the University of Redlands and a Bachelor of Science degree in Unmanned Aerial Systems from Purdue University.","user_avatar":""}],"show_article_image":false,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Untitled-826-x-465-px.png","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/Untitled-1920-x-1080-px-3.png"},"yoast_head":"\nAutomating Comprehensive GIS Data Quality Control Webinar Q&A<\/title>\n<meta name=\"description\" content=\"Explore questions and answers from our "Automating Comprehensive GIS Data Quality Control" Webinar. 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