For both sources, cases were sifted to only review high scoring cases with a strong emphasis on ‘data’. Relevant text to this research was extracted from the larger impact narratives. A content analysis was conducted to identify patterns, linking research data and impact in the narratives. This analysis achieved a high level of reliability, based on established methodological standards.
The most prevalent type of research data-driven impact was benefits for professional practice (45% UK; 44% Australia).
This category of impact includes changing the asia rcs data ways professionals operate and improving the quality of products or services through better methods, technologies, and responses to issues through better understanding. It also includes changing organisational culture and improving workplace productivity or outcomes.
Government impacts were the next most prevalent category identified in this research (21% UK; 20% Australia).
These impacts include the introduction of new policies and changes to existing policies, as well as
reducing the cost to deliver government services
enhancing the effectiveness or efficiency of government services and operations
more efficient government planning
Other relatively common types of research data-driven impacts were economic impact (13% UK; 14% Australia) and public health impacts (10% UK; 8% Australia).