synthesis is based on a time-consuming trial-and-error approach, in which a target MOF structure is compared with reported MOFs from literature to find similar synthesis conditions and experimentally refine them. A data driven approach (right loop), where a ML model is trained on a library of automatically extracted literature data, to then suggest synthesis conditions in a data-driven MOF discovery cycle. Updating the ML model based on new experiments leads to continuous improvement of the predictions.