Abstract
With language resources being collected in many - also small - projects in learner corpus research with considerate amounts of time and effort spent in this activity, making these types of data available in a FAIR way, with standardized and reasoned methods, would contribute substantially to the advancement of the field. Additionally, it would answer current demands in transparency, replicability and reusability. In this article, we discuss some of the challenges when making learner corpora FAIR and report from experiences in fulfilling this aim while creating a learner corpus infrastructure at a research institution hosting five different learner corpora.