Note: The Sales Data Management Course is available within the ORPTS Training Portal. The Training Portal is accessed through the secure Assessment Community website. For instructions on gaining access to the assessment community site, see How to Register for secured access.
From the SLMS Training Home page use the ’Learning’ Search bar at the top of the page or choose ’Find Learning’ in the Quick Links toolbar. Type in ’Sales Data’ or ’Sales Data Management’ to locate the course. Choose the ’Enroll’ button and then ’Submit Enrollment’. The course will appear under your current enrollments found in the ’My Learning’ Quick Link.
If you have access to the Assessment Community secure site, but are still having trouble accessing the Training Portal please contact Educational Services.
This course is designed for NYS Assessment Administrators who maintain and utilize real property sales data as part of their job responsibilities.
This course defines real property transfers/sales and identifies the statutes mandating the reporting of real property transfer data. The primary function of and filing procedures for RP-5217 Real Property Transfer Reports are reviewed and each RP-5217 form item is examined.
It describes local and state real property transfer/sales database environments and RP-5217 data entry methods. Local and state sales data usage is clarified. Critical RP-5217 data items are identified and the Real Property System's RPS035 file transmittal and paper data correction methods are described. State and local RP-5217 records matching issues are explained and RP-5217 data correction timeline requirements are stated.
The state's three online sales reports are identified and analyzed. Local sales data review requirements are explained. Sales Web, the state's online sales data warehouse application, is introduced and described.
State Aid eligibility requirements regarding local sales reporting are explained. Sales Data Management Information System (MIS), the state's sales data monitoring system, is described and additional sales data management resources are identified.