Triple Helix and Regional Innovation Systems: Knowledge Transfer in New South Wales-Dataset

Measurement is essential for assessment of performance. Without measurements using a repeatable tool there is no ability to monitor change. The application of the triple helix to measuring university-industry-government collaboration allows assessment of performance in the research sector. Furthermore, with the integration of research partner (or individual organisation) locations, any relationship with the local economy can be identified. New South Wales exhibits different behaviours for different research sectors, demonstrated by differences between all research fields and seven agriculture-related areas. Whilst all fields of research exhibited decreasing collaborations, agriculture-related countered this with increasing collaboration. These measurements allow targeted policies to enhance collaboration and improve research activities by increasing awareness of the nature and location of collaboration. There are two distinct datasets required; Web of Science and Australian Bureau of Statistics Census data. The code relies on CSV or Excel data files downloaded from the Web of Science. This subsequent dataset is used to perform the triple helix index analysis and calculation. The code relies on CSV or Excel data files downloaded from the Australian Bureau of Statistics to calculate the specialisation and diversification calculations.

绩效评估离不开测量工作。若缺乏使用可重复工具开展的测量，便无法监测变化情况。将三螺旋（triple helix）模型应用于大学-产业-政府合作的测量，可实现科研领域的绩效评估。此外，通过整合研究伙伴（或独立组织）的地理位置信息，能够识别合作活动与地方经济之间的关联。新南威尔士州（New South Wales）在不同科研领域展现出差异化特征，这一点可通过全研究领域与7个涉农领域的差异得到佐证：尽管所有研究领域的合作均呈下降趋势，但涉农领域却逆势上扬，合作规模持续扩大。此类测量可为制定针对性政策提供依据，通过提升对合作性质与合作区位的认知，强化合作水平并优化科研活动。本研究需两类独立数据集：科学引文索引（Web of Science）数据与澳大利亚统计局（Australian Bureau of Statistics）普查数据。该代码一方面依赖从科学引文索引（Web of Science）下载的CSV或Excel数据文件，基于该后续生成的数据集开展三螺旋（triple helix）指数分析与计算；另一方面还依赖从澳大利亚统计局下载的CSV或Excel数据文件，用于完成专业化与多样化程度的计算。