Embed data inventory as a living capability within the organisation. A data inventory that is not actively maintained loses its value quickly. This step is not a final phase but the ongoing operating cycle of your data management capability and maturity.

Embed maintenance operations

The goal is to make inventory maintenance a normal part of how your organisation works, not a special exercise that happens when someone has time. Practical mechanisms include:

• Requiring an inventory update as a gate in any new ICT project or data initiative.
• Building an annual inventory review into your data governance calendar.
• Assigning stewards who receive notifications when systems they own are changed or decommissioned.
• Including inventory currency as a metric in data governance reporting to senior leadership.

Continuous improvement cycles

At least annually, your organisation should review the inventory against a set of improvement questions:

• Have all new data assets created in the past year been added?
• Have outdated or decommissioned entries been removed or archived?
• Have stewardship roles changed? Are they still filled?
• Has the scope expanded — are there new business areas or data types that should be included?
• Has the metadata standard been updated — should new attributes be collected?
• Are quality ratings still accurate? Have issues identified in the last cycle been addressed?

Document your review cycle as a standing agenda item in your data governance committee. Record what changed, why and what will be prioritised in the next cycle. This creates an audit trail and demonstrates continuous improvement to auditors and oversight bodies.

Connect to broader data ecosystem

A data inventory becomes significantly more valuable when it connects to the broader data landscape, inside and outside the organisation.

Internally

• Link inventory records to your organisation's enterprise architecture and systems register.
• Connect data assets to business processes, enabling impact assessment when systems change.
• Use the inventory to support privacy impact assessments and information security reviews.
• Reference the inventory in data sharing agreements and data access requests.

Externally

• Publish your inventory to the Dataplace to support data discovery.
• Use Dataplace to manage data sharing requests and agreements.
• Align your inventory with cross-jurisdictional data initiatives, including ANDII (Australian National Data Integration Infrastructure) and state-level data catalogues.
• Engage with sector-specific data communities — health data networks, research data alliances, environmental data platforms.
• Engage with the Data Champions Network to share learnings and stay current with evolving standards.
• Where joint datasets are held with partner organisations, establish shared stewardship arrangements and linked inventory records.

Embedding data quality

A data inventory tells you what data you have. Data quality practice tells you how good it is. These two capabilities reinforce each other — a mature inventory includes quality metadata; a quality program depends on knowing what data assets exist.

The ABS Data Quality Framework provides a practical, widely recognised model for assessing and communicating data quality. Its seven dimensions can be applied to individual data assets in your inventory:

You don't need to formally rate every asset against all seven dimensions from day one. Start by capturing timeliness (update frequency and last modified date) and accessibility (access level and location).