Journalism educators recognize the need to prioritize teaching data journalism to ensure their students are industry-ready, particularly given the exponential growth in data, data availability, collection and analysis. However, research indicates that falling staff numbers and skill levels, lack of available sessional expertise and insufficient room in existing course curricula are among the problems faced in accommodating data journalism. This article outlines the efforts of Swinburne University of Technology’s journalism programme to meet these challenges and the solutions implemented. The programme staff sought expertise through their existing international contacts and within their own university but also reached beyond the silos of their own department and faculty into computer science disciplines. The outcome means students in a programme which promotes its practical nature and industry-experienced staff will be taught by staff with data analytics expertise but limited journalism experience. This has, however, opened up the possibilities for collaboration between the analytics and journalism staff members and a team approach to the teaching of data journalism.

中文翻译：

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当数字不累加时：在紧凑型新闻程序中容纳数据新闻

新闻教育者认识到有必要对教学数据新闻进行优先排序，以确保其学生适应行业发展，特别是考虑到数据，数据可用性，收集和分析呈指数增长的情况。但是，研究表明，员工数量和技能水平下降，缺乏会期专业知识以及现有课程课程空间不足是适应数据新闻业面临的问题。本文概述了斯威本科技大学的新闻学计划为应对这些挑战而付出的努力以及所实施的解决方案。该计划的工作人员通过他们现有的国际联系以及在自己的大学内部寻求专业知识，但是他们也超出了自己部门和教职员工的范围，进入了计算机科学学科。结果意味着计划中的学生将提高其实践性，具有行业经验的员工将由具有数据分析专业知识但新闻经验有限的员工教书。但是，这为分析人员和新闻工作人员之间的协作以及数据新闻教学的团队合作方法提供了可能性。