大型跨国数据集的挑战与机遇:以欧洲行政作物数据为例

Maja Schneider, Christian Marchington, Marco Körner
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引用次数: 0

摘要

广泛的、信息丰富的数据集对于为许多研究领域的科学研究和发展提供基础和可能性至关重要。然而,大数据集的组装经常给作者和涉众带来困难,在整个协作努力和开发生命周期中需要考虑各种各样的因素。在这项工作中,我们讨论和分析了我们在创建包含栽培作物参考标签的跨国欧洲农业数据集时所面临的挑战和机遇。总之,这形成了一个简洁的框架,其中包含了人们在构建自己的数据集时应该考虑的重要元素。
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Challenges and Opportunities of Large Transnational Datasets: A Case Study on European Administrative Crop Data
Expansive, informative datasets are vital in providing foundations and possibilities for scientific research and development across many fields of study. Assembly of grand datasets, however, frequently poses difficulty for the author and stakeholders alike, with a variety of considerations required throughout the collaboration efforts and development lifecycle. In this work, we discuss and analyse the challenges and opportunities we faced throughout the creation of a transnational, European agricultural dataset containing reference labels of cultivated crops. Together, this forms a succinct framework of important elements one should consider when forging a dataset of their own.
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