2022: Registered Interests on Titled Land (RITL) – AER Data Integration Report

A recommendation coming out of the 2021 Pilot Project was to examine data sources that could be disseminated through a province-wide RITL mapping program.

The Challenge

AER needed a tactical report to take action based on 2021 Pilot Project results and recommendations.

The Solution

The 2022 report examined the Alberta Energy Regulator (AER) data collection process through OneStop to determine what could be disseminated. The objective was to examine source data opportunities (beyond AER) and determine what could actually be disseminated. The goal was to ascertain if and how a province-wide RITL mapping program could be supported by existing source data and to what degree.

The project was comprised of a research phase which consisted of meetings and action items coming out of those meetings. A summary of the research findings was compiled in a report.

The report included the following:

  • Description of the current OneStop process components relevant to RITL
  • Description of how AER data could support a RITL mapping build
  • Description of how AER data could support RITL mapping maintenance
  • Description of technical scenarios for AER data integration in a RITL mapping program
  • Description of the benefits and obstacles to AER data integration
  • Description of effort to implement an AER data integration process
  • Next Step recommendations
  • Appendixes for the research data as applicable

The Results

 A report was created that summarized the AER Data collection process through OneStop to determine what data could be disseminated through to a province-wide RITL mapping program. The report also included findings on if and how a province-wide RITL mapping program could be supported by AER’s data collection, and to what degree along with some recommendations and next steps.

It was determined that A RITL mapping program is the next natural evolution for datasets managed under ADP. However, the cost and timeline of a traditional mapping approach (used for Title mapping) seemed to be unworkable simply due to the large volumes of interests to be mapped.

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