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Expansive, informative datasets are vital in providing foundations andpossibilities for scientific research and development across many fields ofstudy. Assembly of grand datasets, however, frequently poses difficulty for theauthor and stakeholders alike, with a variety of considerations requiredthroughout the collaboration efforts and development lifecycle. In this work,we discuss and analyse the challenges and opportunities we faced throughout thecreation of a transnational, European agricultural dataset containing referencelabels of cultivated crops. Together, this forms a succinct framework ofimportant elements one should consider when forging a dataset of their own.

Challenges and Opportunities of Large Transnational Datasets: A Case Study on European Administrative Crop Data