A current challenge in the fields of evolutionary, ecological, and conservation genomics is balancing production of large-scale datasets with additional training often required to handle such datasets. Thus, there is an increasing need for conservation geneticists to continually learn and train to stay up-to-date through avenues such as symposia, meetings, and workshops. The ConGen meeting is a near-annual workshop that strives to guide participants in understanding population genetics principles, study design, data processing, analysis, interpretation, and applications to real-world conservation issues. Each year of ConGen gathers a diverse set of instructors, students, and resulting lectures, hands-on sessions, and discussions. Here, we summarize key lessons learned from the 2019 meeting and more recent updates to the field with a focus on big data in conservation genomics. First, we highlight classical and contemporary issues in study design that are especially relevant to working with big datasets, including the intricacies of data filtering. We next emphasize the importance of building analytical skills and simulating data, and how these skills have applications within and outside of conservation genetics careers. We also highlight recent technological advances and novel applications to conservation of wild populations. Finally, we provide data and recommendations to support ongoing efforts by ConGen organizers and instructors—and beyond—to increase participation of underrepresented minorities in conservation and eco-evolutionary sciences. The future success of conservation genetics requires both continual training in handling big data and a diverse group of people and approaches to tackle key issues, including the global biodiversity-loss crisis.

中文翻译：

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保护基因组学中的大数据：提高技能、对冲赌注和在该领域保持最新

进化、生态和保护基因组学领域当前的挑战是平衡大规模数据集的生产与处理此类数据集通常需要的额外培训。因此，保护​​遗传学家越来越需要通过专题讨论会、会议和研讨会等途径不断学习和培训以保持最新状态。ConGen 会议是一个近乎年度的研讨会，旨在指导参与者了解种群遗传学原理、研究设计、数据处理、分析、解释以及对现实世界保护问题的应用。每年的 ConGen 都会聚集不同类型的教师、学生，以及由此产生的讲座、实践会议和讨论。这里，我们总结了从 2019 年会议中吸取的主要经验教训以及该领域的最新更新，重点关注保护基因组学中的大数据。首先，我们强调研究设计中与处理大数据集特别相关的经典和当代问题，包括数据过滤的复杂性。接下来，我们强调建立分析技能和模拟数据的重要性，以及这些技能如何在保护遗传学职业内外得到应用。我们还强调了最近的技术进步和野生种群保护的新应用。最后，我们提供数据和建议，以支持 ConGen 组织者和讲师以及其他方面的持续努力，以增加代表性不足的少数族裔对保护和生态进化科学的参与。