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Informational Webinar North Dakota Statewide Parcel Project Phase 1 - PowerPoint PPT Presentation

Informational Webinar North Dakota Statewide Parcel Project Phase 1 Thursday, July 16, 2020 10:30 AM CDT MEETING LOGISTICS If you have questions: Use the raise hand feature and well call on you Unmute to talk, mute when not


  1. Informational Webinar North Dakota Statewide Parcel Project – Phase 1 Thursday, July 16, 2020 10:30 AM CDT

  2. MEETING LOGISTICS If you have questions: • Use the raise hand feature and we’ll call on you • Unmute to talk, mute when not talking • If no mic, or you’ve called in, put question in Chat • We’ll check after each slide and respond

  3. EMPOWER PEOPLE. IMPROVE LIVES. INSPIRE SUCCESS.

  4. NORTH DAKOTA PROJECT TEAM Parcel Advisory Board Lisa Guenther Brian Hosek Linda Morris Rory Porth Project Team Lead Project Team Project Sponsor Joseph Stegmiller Bob Nutsch Brian Bieber Terry Traynor Project Manager (Primary) Project Team Co-Lead Cass County GIS Programs Manager Jake Chaput Jason Horning Kay Anderson GIS Specialist Project Manager Billings County Tax & Zoning Director Matthew Fischer Brody Rohlfs Stacey Swanson

  5. APPGEO PROJECT TEAM Principal in Charge Project Manager Parcel SME Analyst Kate Hickey Michele Giorgianni Rebecca Talamini Assistant Project Manager Technical Lead - ETL Analyst Brian Coolidge Nate King Additional AppGeo Staff: • ETL: Ashley Tardif, Caitlin Schneider • Parcels: Myriam O’Neill Lopez

  6. STATEWIDE PARCEL DATASET (SPD) PROJECT BACKGROUND • Diverse and varying business processes within state agencies increasingly rely on property boundary and ownership info to facilitate the fundamental business needs of the State. • Reduce the number of data requests to county providers for parcel data. • Automate processes and applications.

  7. PROJECT VISION North Dakota has an accurate , publicly accessible , maintained , statewide parcel dataset that supports the many North Dakota business needs. Example Use Cases • Property tax evaluations (e.g., Tax Dept., counties) • Siting of power lines, pipelines (e.g., Oil and Gas Division, engineering companies) • Enrollment of state lands into programs (e.g., Game and Fish Dept.) • Managing disease outbreak, pesticide application (e.g., Dept. of Agriculture) • Determining access to land for sampling (e.g., Dept. of Health) • Management of spills (e.g., Dept. of Health, Dept. of Emergency Services)

  8. PROJECT OBJECTIVES • Statewide – Data needs to have complete coverage across the state. The locational need for this data can occur anywhere in the state. • Measurement: At project completion, all 53 counties are contributing data to the statewide dataset • Seamless – One layer for data instead of 53 (one for each county). • Measurement: At project completion, all boundary geographies will be common to one table (layer)

  9. PROJECT OBJECTIVES CONT. • Standardized – Common set of field names and field values. • Measurement: At project completion, a minimum domain of common field values and common field names will exist across the entire data set. • Maintained – Data needs to be updated on a set schedule. • Measurement: At project completion, a regular data update cycle and documented data update workflow process will exist for each county. • Publicly accessible – Data will be available via download and web services. • Measurement: At project completion, parcel polygons and tax roll data will be publicly available for download and via streaming service from the GIS Hub.

  10. BENEFITS: GOVERNMENT EFFICIENCY County City Tax Regional Tribal State Assessor Entities Nations Offices Director Offices Offices State of North Dakota Increase efficiency for all levels of government, creating cost savings through the freeing of resources for other business needs

  11. BENEFITS TO THE STATE • Facilitates new opportunities, unknown potential • Emergency management support (e.g., property assessments in wildland fire damaged areas) • Improved census information for proper allocation of funding • Contacting landowners Source: TNRIS and AppGeo . “Texas Parcel Report: Project Status & Discussion, April 19, 2017

  12. BENEFITS TO THE COUNTIES • Reduce number of data requests • Enable neighboring properties notifications across county boundaries • Expedite planning and reduce effort for utilities siting , identify taxing districts for notification • Improve (public) experience – one site to access data • Consistent format assists in sharing & comparing data, developing apps • Supports regional issues and planning • Facilitates counties working with tribal and state government • Allow for innovation with open data • Businesses quickly identify key county resources Image source: Richland County, ND GIS

  13. BENEFITS TO TRIBAL NATIONS • Expedites appraisal and mapping needs for the DOI Land Buy-Back Program (LBBP) • Assist with communication and collaboration with state, county, and federal partner level activities • Assist with management of natural resources • Provides access to essential information for emergency planning, mitigation, and response amongst tribal, county, state, and federal partners • Management of and coordination of tribal trust lands • Cost savings to using a statewide dataset as tribal nations reach across multiple county boundaries (if no in-house GIS) • Plus several of the County benefits are applicable…

  14. A Statewide Parcel Dataset is a communication platform Photo by Franck V. on Unsplash

  15. We are here PHASE 1 OVERVIEW

  16. CURRENT TASKS - ESTABLISH BASELINE STATUS • Set up a Project Website • https://north-dakota-parcel-project-ndgov.hub.arcgis.com/ • Develop a statewide parcel database schema • Counties please respond to Baseline Status Survey by 7/24 (link will be emailed shortly) • Counties please submit data to the State by 7/24 • AppGeo compiles survey findings and inventories data Counties from whom we do not receive data will not be part of the project

  17. BASELINE INFORMATION SURVEY Please respond by https://bit.ly/NDParcelsSurvey 7/24 (Next Friday)

  18. DATA SUBMISSION REQUEST What data are we requesting? 1. Tax Roll Database Extract (real property records): CSV file 2. Mapped Parcel Dataset – a digital parcel polygon dataset: GIS (GDB, Shp, GeoJSON) or CADD Save your workflow/process to submit identical data formats going forward

  19. DATA SUBMISSION REQUEST CONT’D What data are we requesting? 3. CAMA (Computer-Assisted Mass Appraisal) Database Extract: CSV file(s) Full database extract, as much as you’re ▪ willing, including IDs to link to GIS parcels This CAMA data will be used to support ▪ public damage assessments and hazard mitigation, for example The State understands this is dynamic data ▪ and will work with counties as appropriate to Save your obtain updated data workflow/process to submit identical data formats going forward

  20. DATA SUBMISSION REQUEST How do you share your data? Data is NOT Data IS accessible accessible online online (URL) Please provide data by 7/24 (Next Friday) ETL Upload data to MOVEit https://mft.nd.gov/ Statewide Parcel Dataset

  21. DATA FIELDS REQUESTED - POLYGONS Minimum Requested Desired if Available Field Alias Description Field Alias Description Lot Lot number/ID for subdivision lots (in Cities) GIS ID GIS Parcel Polygon ID as provided by county Block Block number/ID for subdivision lots (in Cities) Section Number PLSS Section number Subdivision Plat Subdivision Plat number or name Township Number PLSS Township number Calculated Acres Acres as calculated by GIS Range Number PLSS Range number ID of source document used for last updated/edit (Ideally, a systematic identification number for recorded documents/maps, otherwise the Plan/Map Feature Type Type of polygon feature (parcel, ROW, etc.) SourceID name) Source Type The type of data source used for last update/edit Organization type that owns the property (private, Source Date Date of source document used for last updated/edit Ownership municipal, etc.) Automation Method Method by which the parcel was last edited/created Automation Type Type of polygon update/edit last performed Automation Comment Comment about the update/edit last performed Last Update Date Last date the polygon was updated/edited Editor Who last updated/edited the parcel polygon

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