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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.

Te Ringa Maimoa Transport Excellence Partnership supports the sector to improve the quality of transport-related data for effective evidence-based decision making and help lift investor confidence.

The objectives

The objectives of the Te Ringa Maimoa 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 Te Ringa Maimoa 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 Waka Kotahi Transport Investment Online (TIO) and RAMM to compare pavement and resurfacing renewal achievements versus as-built asset inventory.

Phase 3 (provisional): Additional data required for the One Network Framework and related measures.

Data quality framework

The framework consists of a suite of metrics that interrogates a targeted sample of the data that supports our asset management processes.

There is a separate suite of metrics for TLAs (including DoC) and Waka Kotahi. Many of the metrics are common across both, however, there are a small number which differ due to either a difference in the data source or asset portfolio.

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

Data quality framework overview [PDF, 460 KB]
Data quality dimensions overview [PDF, 461 KB]

The framework and metrics are continually evolving and enhanced to provide more meaningful results.

Framework and metric enhancements

Details regarding changes at a metric level are available via the online data quality metrics library or within Transport Insights.

Data quality metrics library(external link)

Assessment philosophy

The data quality of each RCA, including Waka Kotahi state highway region, is assessed annually and reported. For 2020/21, a framework consisting of 60 metrics for TLAs and 54 for Waka Kotahi 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. For TLAs and DoC the comparison is against other TLAs, and for Waka Kotahi regions the comparison is against the other state highway regions.

Reported 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 records.

Data quality framework example


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, 334 KB]