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Data is increasingly important in underpinning the New Zealand transport sector’s approach to consistent levels of service, asset management and investment decision making.

REG supports the sector to improve the quality of transport-related data for effective evidence-based decision making and help to lift investor confidence.

The objectives

The objectives of the REG data quality project are to:

  • establish a framework to measure, monitor and report data quality across Road Controlling Authorities (RCAs) over time
  • establish a data quality baseline for each RCA, establishing a national perspective of data quality across RCAs, different quality dimensions and data types
  • gain an evidence-based understanding of the root causes of data quality issues
  • develop work programmes to address the issues and help RCAs improve data quality over time.

The approach

The REG approach is segmented into three phases of focus:

Phase 1: 2018/21 National Land Transport Programme (NLTP) One Network Road Classification (ONRC) and related performance measures (limited to RAMM data).

Phase 2: Road Asset Management and Decision Support Systems related data. Interrogation of RAMM data for network, asset inventory, maintenance activity and traffic demand. Plus, interrogation of RCA data from the NZTA Transport Investment Online (TIO) and RAMM to compare pavement and resurfacing renewal achievements versus as-built asset inventory.

Phase 3 (provisional): Data required for the new ONRC performance measures for the 2021/24 NLTP and selected 2018–21 NLTP input measures.

Data quality framework

The framework consists of a suite of metrics that interrogates the data that underpins the reported ONRC Performance Measures and supports our asset management decision-making processes.

Each metric has been selected to test a cross-section of the data looking at data quality in terms of accuracy, completeness, and timeliness.

The framework and metrics are continually evolving and enhanced to provide more meaningful results. Information about the metrics and the annual changes are here.

The data quality framework and quality dimensions are further explained in the online resources.

Data quality framework overview [PDF, 1.2 MB]
Data quality dimensions overview [PDF, 1.2 MB]

Assessment philosophy

The data quality of each RCA is assessed annually and reported in terms of ONRC and asset management. For 2018/19, a framework consisting of 63 metrics assesses each RCAs data quality. For each metric, the RCAs result is compared against the distribution of all RCAs across New Zealand and the expected standard.

Reporting results will flag potential issues with how the data is being collected, managed, and maintained. Further analysis is required on those results not at the expected standard to determine what action (if any) is required. The focus of this should be at the root cause, rather than simply correcting the record.

Data quality framework example

 

AM data quality results short

Road Asset Management and Decision Support System data quality (phase 2)

The asset management data quality report includes an overall ‘score’ which is weighted by a level of importance, that indicates the overall quality of data.

Asset management data quality score calculation overview [PDF, 130 KB]

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