Colleagues in the life sciences have accelerated and democratised research by creating interactive, community-governed software platforms that enable the integration, reuse and analysis of large-scale data. Could the language learning research community achieve something similar? In this talk I’ll report the findings from an ongoing evaluation of the FAIR-ness, completeness and reusability of datasets that have been archived in the IRIS (Instruments and data for research in language studies) repository with a view to identifying challenges and opportunities ahead.