The NSW Data Strategy roadmap shows how we will keep the strategy up to date and aligned to the NSW Government’s vision. Elements of the strategy, such as commitments and case studies, will help measure the progress of data transformation across NSW. The NSW Data Leadership Group oversees implementation of the Strategy.
On this page, we have outlined the plan for making sure the NSW Data Strategy remains relevant to the rapidly changing data landscape. This plan is broken up into ‘horizons’ that demonstrate what we will do and when.
The plan includes:
- Monitoring and evaluating the status and impact of Strategy commitments
- A major review and update of the Strategy in 18-24 months to reflect new data Department strategies, technologies and trends.
To further demonstrate progress on the strategy, we will track and measure the progress of commitments every year.
| Data Priority Outcomes | Related Commitment |
|---|---|
| It is easier for community users to find, access and use open data | 2 Expand, enhance and standardise the open data offering on Data.NSW |
| Increased efficiency and consistency in spatial and downstream datasets | 3 Embed the Foundation Spatial Data Framework |
| Better insights are available about the lives of people with disability | 6 NSW delivers on its commitments to national data reform initiatives |
| Increased data sharing, use and comparability across agencies | 16 Adopt common, interoperable data standards for use across agencies and their contractors |
| Data discoverability and data access is faster and easier | 17 Increase use of cross-sector data governance and management tools |
| Data maturity increases across the sector | 19 Share resources and implement initiatives to uplift data maturity across the sector |
| Opportunities identified for increased consistency in data governance | 20 Evaluate the appropriateness of the spatial data governance framework for use in other domains |
| Reduced cost to government | 22 Coordinate procurement of data governance and management platforms and tools |
| Clarity of skill and knowledge requirements for data professionals and non-data roles | 23 Define an Occupation Specific Capability Set for data professionals and data-related capabilities for non-technical roles |
| Consistency and clarity across agencies that will promote data collaboration | 26 Develop a shared understanding of Chief Data Officer functions and embed the functions across agencies |
| Improved understanding of data needs and how they can be met | 28 Increase coordination and engagement between data leaders and policy leaders to identify and deliver on information needs |
| Increase in availability and use of data for decision-making | 29 Identify and implement initiatives that build data driven decision-making culture |
| Data Priority Outcomes | Related Commitment |
|---|---|
| Cross-sector clarity and consistency on classification of open data and its access | 1 Update the Open Data Policy |
| Increased access and use of data by Aboriginal people to address community needs | 5 Deliver NSW Closing the Gap Priority Reform 4 in collaboration with the Coalition of Aboriginal Peak Organisations (CAPO) |
| Data linking is more efficient | 7 Develop a coordination model for NSW and national linked data assets |
| Make data sharing and collaboration easier and more efficient | 8 Embed a cross-sector interconnected data system to inform government priorities |
| Government has a holistic view of performance and trends in community wellbeing | 9 Agencies regularly report on Performance and Wellbeing Framework metrics |
| Clarity on need for regulatory change | 11 Monitor and assess the regulatory environment for data privacy and sharing, and assess the need for regulatory change |
| Data maturity uplift is measured. Information is available to inform maturity uplift initiatives. | 18 Measure and report on data maturity across the sector |
| Cross-sector uplift in foundational data literacy | 24 Build foundational data literacy and other skill building programs |
| Duplication of effort is reduced, and resources are easy to access | 25 Share knowledge, expertise and resources across the sector |
| Uplift in data skills of senior executives that improves data culture | 27 Identify opportunities for Senior Executive Data Leadership training |
| Data Priority Outcomes | Related Commitment |
|---|---|
| Increased capability in engaging with communities on data approaches | 4 Build capability in engaging communities on data governance, access and use |
| Strategies for safer data sharing identified | 10 Explore privacy enhancing technologies that make data sharing safer |
| Transparency and trust built with community | 12 Inform the community about how government uses, manages and protects data |
| Social licence building and testing mechanisms are identified | 13 Explore approaches to building and testing social licence |
| Reduced duplication of effort and increased proactive planning | 14 Collectively develop a cross-sector plan and register of use cases to leverage emerging technologies |
| Clarity on requirements for AI data practice | 15 The NSW AI strategy sets the direction for data management practices that support safe and ethical use of AI |
| Lorem ipsum dolor sit amet. | 21 Recommend an approach to cross-sector investment in people, infrastructure and resources that enable data capability, capacity and quality uplift |
We will measure and track progress of commitments
Key activities
- The commitments published as part of the NSW Data Strategy will be measured and tracked.
- We will review and update the NSW Data Strategy within 18-24 months of this Strategy’s release to align with significant changes in the data landscape.
- If you’re working on a major data related initiative or reform that you believe should be included in the strategy, we would love to hear from you at datansw@customerservice.nsw.gov.au.