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:
To further demonstrate progress on the strategy, we will track and measure the progress of commitments every year.
| Data Priority Outcomes | Related Commitment |
|---|---|
| Cross-sector data policies are current, clear, succinct and aligned | 1 Review and refresh data policies and standards, starting with the Open Data Policy |
| 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 Open Data Portal |
| 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 including National Disability Data Asset and Australian National Integration Infrastructure |
| Make data sharing and collaboration easier and more efficient | 8 Embed a cross-sector interconnected data system to inform government priorities |
| Increased data sharing, use and comparability across agencies | 18 Adopt common, interoperable data standards for use across agencies and their contractors |
| Increase in consistency and streamlined use of government platforms, assets and services | 19 Increase use of cross-sector data governance and management tools, including Metadata.NSW and Data Passport, and adoption of State Digital Assets, including NSW Spatial Digital Twin |
| Data maturity uplift is measured. Information is available to inform maturity uplift initiatives. | 20 Measure and report on data maturity across the sector |
| Data maturity increases across the sector | 21 Share practice guides and capability resources to uplift data maturity |
| Opportunities identified for increased consistency in data governance | 22 Evaluate the appropriateness of the spatial data governance framework for use in other domains |
| Reduced cost to government | 25 Coordinate procurement of data governance and management platforms and tools |
| Clarity of skill and knowledge requirements for data professionals and non-data roles | 26 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 | 29 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 | 31 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 | 32 Identify and implement initiatives that build data driven decision-making culture |
| Data Priority Outcomes | Related Commitment |
|---|---|
| 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 Enhance interoperability and coordination of state and national datasets and infrastructure |
| Government has a holistic view of performance and trends in community wellbeing | 9 Agencies regularly report on Performance and Wellbeing Framework metrics via the Data.NSW Open Data Portal |
| All new data initiatives contribute to meeting the information needs of whole of government, agencies and/or communities | 10 Data initiatives and proposal's identity how they meet the information needs of service-system or agency specific, whole-of-government, or community and place-based |
| Clarity on need for regulatory change | 12 Monitor and assess the regulatory environment for data privacy and sharing, and assess the need for regulatory change |
| Reduce duplication and support interoperability | 23 Identify opportunities to leverage existing data architecture solutions to reduce duplication and support interoperability |
| Cross-sector uplift in foundational data literacy | 27 Build foundational data literacy and other skill building programs |
| Duplication of effort is reduced, and resources are easy to access | 28 Share knowledge, expertise and resources across the sector via NSW Data Leadership Group |
| Uplift in data skills of senior executives that improves data culture | 30 Identify opportunities for Senior Executive Data Leadership training |
| Increase in alignment to digital reform priorities delivers a more streamlined process and user experience | 33 Data initiatives align to digital reform program |
| 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 | 11 Explore privacy enhancing technologies that make data sharing safer |
| Transparency and trust built with community | 13 Inform the community about how government uses, manages and protects data |
| Social licence building and testing mechanisms are identified | 14 Explore approaches to building and testing social licence |
| Government data is more inclusive of NSW citizens regardless of abilities, backgrounds or identities | 15 Develop and adopt cross-sector inclusion by design practices |
| Reduced duplication of effort and increased proactive planning | 16 Collectively develop a cross-sector plan and register of use cases to leverage emerging technologies |
| Clarity on requirements for AI data practice | 17 The NSW AI strategy sets the direction for data management practices that support safe and ethical use of AI |
| Lorem ipsum dolor sit amet. | 24 Recommend an approach to cross-sector investment in people, infrastructure and resources that enable data capability, capacity and quality uplift |