Modern survey and fishery observation programs generate vast quantities of data. However, regulatory agencies often lack the capacity to translate those data into effective monitoring information. Here, we describe an approach of automated visualization of raw fisheries data and demonstrate it with a report on 113 groundfish species in Pacific Canadian waters. Our implementation consists of two pages per species that show standardized visualizations of temporal trends and spatial distributions of commercial catches and survey indices, along with analyses of age, size, maturity, and growth. The approach facilitates discussions on stock assessment and survey prioritization, increases transparency about data holdings, and makes data available for regular review by interested parties. We encourage other agencies to consider similar approaches for their own data.

中文翻译：

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可重现的113种物种原始渔业数据可视化效果提高了透明度，评估效率和监控

现代调查和渔业观察计划产生大量数据。但是，监管机构通常缺乏将这些数据转换为有效监控信息的能力。在这里，我们描述了一种自动可视化原始渔业数据的方法，并通过对加拿大太平洋水域中113种底层鱼类物种的报告进行了演示。我们的实施方案包括每个物种两页，显示了商业捕获量和调查指标的时态趋势和空间分布的标准化可视化，以及年龄，大小，成熟度和生长情况的分析。这种方法促进了有关库存评估和调查优先次序的讨论，增加了数据持有量的透明度，并使数据可供感兴趣的各方定期审查。