  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.
