Big data in Australian research: issues, challenges and opportunities

该项目旨在通过更好地利用大数据，提高澳大利亚研究领域内和学科之间的发现、生产率和翻译能力。我们捕获、存储、处理和分析大型数据集的能力的进步正在改变社会的许多部分，包括研究部门。例如，机器学习将允许对社交媒体档案或金融记录等海量非结构化数据集进行数据驱动分析，从而为许多复杂的研究问题提供新的线索。该项目将绘制学科内部和跨学科的现有能力和基础设施图，确定共同和特定学科的实践、挑战和机遇，并评估澳大利亚的技术、基础设施、培训和协作优先事项。

This project aims to enhance discovery, productivity and translation within and between disciplines in Australian research through better utilisation of big data. Advances in our ability to capture, store, process and analyse large data sets are transforming many parts of society, including the research sector. Machine learning, for example, will allow data-driven analysis of massive, unstructured data sets such as social media archives or financial records in ways that will shed new light on many complex research questions. This project will map existing capability and infrastructure within and across disciplines, identify common and discipline-specific practices, challenges and opportunities, and assess technology, infrastructure, training and collaboration priorities for Australia.