Latest Contributions by JayCary

‎10-22-2020

Reviewer Batch Jobs are created using tools delivered in the ArcGIS Data Reviewer for Desktop extension. It is an extension to both ArcGIS Pro and ArcMap (although ArcMap requires a separate software installation). Hope this helps!

‎09-16-2020

Hi Jim, When DR for Server is federated with Portal, the Report Feature widget requires a non-Viewer role. The widget is leveraging the writeResult and writeFeatureAsResult REST operations which requires the Edit features privilege. Here is a link to the DR for Server documentation that outlines workflows in a federated environment.

‎08-12-2020

Hi Jon, I would suggest posting this question in the Public Safety page, where you will hopefully find an answer. Thanks, Jay

‎08-12-2020

Hi Steven, It looks like you're having an issue when creating an Arcade-based Attribute (constraint) rule. I am moving this question to the Geodatabase page, where you will hopefully find an answer. Thanks, Jay

‎07-08-2020

The Data Reviewer checks poster has been a great resource when planning your ArcMap or ArcGIS Server implementation of Data Reviewer. Starting with the ArcGIS Pro 2.6 release, a new checks poster will be available that can serve as a resource to you when planning quality control workflows in ArcGIS Pro and Enterprise. Like previous versions, the new ArcGIS Pro checks poster provides a visual guide to automated checks and the error conditions they detect. This can be especially useful when translating data quality requirements into an implementation using ArcGIS. A new feature of the ArcGIS Pro checks poster is the identification of the validation workflows in which the check is supported. These workflows include feature validation leveraging Reviewer rules in Reviewer Batch Jobs, ArcGIS Pro maps, or your geodatabase using Attribute rules.

‎05-01-2020

As you've discovered, the Data Reviewer Custom check is not a supported check type in ArcGIS Pro. In a future release, Data Reviewer is planning to expose a customization framework that supports quality control workflows. You can learn more about the Data Reviewer product roadmap here. The team has not yet determined the implementing technologies that will leverage this framework and we'd appreciate feedback on how you have used the check. Feel free to contact me at jcary@esri.com if you would like to provide your feedback. In the meantime, there are core capabilities in ArcGIS Pro for implementing customized quality assurance (Constraint Attribute rules) and quality control (Validation attribute rules) using Arcade-based Attribute Rules. You may want to evaluate this option to see if it supports your requirements. Thanks!

‎03-16-2020

The updated Managing Data Reviewer Records for ArcGIS Data Reviewer 10.6/2.1 are available. Learn more about them here.

‎03-16-2020

The Data Reviewer Team is pleased to announce the release of the updated Managing Data Reviewer Records tools and tutorial for ArcGIS Desktop 10.6+/ArcGIS Pro 2.1+. The tools are available from the Manage Data Reviewer Records (MDRR) repository on GitHub: Managing Data Reviewer Records for ArcGIS 10.6 The toolbox includes the following python-based tools: The Copy Data Reviewer Records tool takes records from one or more Reviewer sessions and copies them into another Reviewer session. The Export Data Reviewer Records to Shapefile tool exports all of the Reviewer records in a selected workspace to a single multi-point shapefile. The tools are particularly useful when consolidating or archiving Reviewer error results and/or when results need to be shared with others who do not have access to the Data Reviewer extension (or even ArcGIS). Please feel free to provide feedback, enhancement suggestions or report an issue regarding the tools in the repository.

‎02-28-2020

Since Data Reviewer was mentioned, I thought I would chime-in on this discussion. Unfortunately, you are correct in that not all of Data Reviewer's checks from ArcMap can be authored using ArcGIS Pro (although Reviewer Batch Jobs created in ArcMap can be executed in ArcGIS Pro using GP-based tools - tutorial). That said, here is a link to the product roadmap that highlights plans for migrating ArcMap capabilities to Pro. A video highlighting integration of Reviewer checks into Attribute rule-based validation workflows in Pro 2.5/Enterprise 10.8 is available here. (btw: Plans for supporting Attribute validation and batch calculation rules in FGDB is on the product roadmap.) This migration will happen over a number of releases and is prioritized based on customer and Esri solution team feedback. Feel free to provide feedback on how you use Data Reviewer by participating in the customer survey. Thanks

‎02-04-2020

Hi, It might be helpful to get some clarification on your workflow and Reviewer session properties? It's not clear if you are getting false-positive error results for features that do not contain non-monotonic values or if you've corrected non-monotonic features and there are still errors listed in the Reviewer Table. Thanks in advance for the clarification

‎01-22-2020

Currently, there are no plans to enable creation or editing of Data Reviewer Batch Jobs in ArcGIS Pro. That said, there are authoring capabilities available for some (unfortunately not all) check types using map-based rules. Here are links to a series of quick-start tutorials that outline authoring and validation workflows using map-based rules. Long-term, the Data Reviewer team is working to bring additional checks to Attribute Rule-based workflows. For the ArcGIS Pro 2.5 and Enterprise 10.8 releases, a number of Data Reviewer checks will now support validation workflows that leverage Server's validation server capability. Soon, we'll also be publishing a Road Map (similar to what is publish for ArcGIS Pro) on GeoNet that will outline migration of automated validation capabilities to ArcGIS Pro and Enterprise.

‎01-16-2020

Currently, error results displayed in the Reviewer Results pane can only be filtered by error type (doc for reference). This enables filtering of results to show only those related to feature errors, sampling (created when using the Sampling check) or metadata (created when using the Metadata check). Error management capabilities such as grouping, filtering, etc are planned for a future release. We'll be publishing a product roadmap soon that will outline estimated timelines for these and other capabilities.

‎01-08-2020

The patch for ArcGIS Data Reviewer 10.7.1 is now available. You can find the patch for Data Reviewer for ArcGIS Desktop and Data Reviewer for ArcGIS Server here: ArcGIS Data Reviewer 10.7.1 Patch 1 for (Desktop | Server)

‎07-01-2019

Enroll now in Esri’s NEW ArcGIS Data Reviewer learning plan to learn about capabilities that automate, simplify, standardize and unify workflows to improve data quality within your organization.

‎06-25-2019

ArcGIS Data Reviewer's Invalid Hole Feature check should find holes in your chapter boundary features that contain zip code features. That said, it may not fit your workflow in Pro...

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My Ideas

Latest Contributions by JayCary

Re: Data Reviewer Desktop

Re: Report Feature widget- User Type Levels

Re: crime analysis auto import data

Re: Error code on saving constraint rule

Data Reviewer Checks Poster for ArcGIS Pro

Re: ArcGIS Pro - Does ArcGIS Pro support Data Reviewer Custom Checks?

Re: Managing Data Reviewer Records for ArcGIS 10.3

Managing Data Reviewer Records for ArcGIS Data Reviewer 10.6/2.1

Re: Check for polyline orphans in Pro?

Re: Monotonicity check keep marking an error after edited

Re: Will ArcGIS Pro support creating Data Reviewer batch jobs in the future?

Re: How do I filter ArcGIS Pro Data Reviewer Results Table?

ArcGIS Data Reviewer 10.7.1 Patch 1 now available

ArcGIS Data Reviewer learning plan now available

Re: How to identify polygons with a specific relationship to another polygon layer?

Re: Attribute Rule Import Fails (FGDB, Pro 3.5.2)

Re: How to track transportation assets as events i...

Re: Constraint or validation rule to check that te...

Re: Export Query Attributtes rules

Re: Error of reviewer results

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