As schematized in Figure in the SI file, the data set for this work was generated by collecting research articles from Scopus, using different combinations of search keywords: ZIF-8, Zeolitic, Framework, and MOF, giving a total of 3440 entries. After this, duplicates and review articles were identified and removed, for a final number of 2248 entries. A total of 165 articles were hand-picked from those entries, by title+abstract analysis, starting with the highest citation score and covering the entire set of entries. The final dataset thus generated includes representative research covering a 15-year period between 2006 and 2021. As it can be seen from Figure , many of the sources used to extract synthetic conditions are interconnected, as new research projects often build on seminal works. While this approach Figure : The interconnectivity of documents employed for the data set is shown by lines between nodes. Node diameter relates to citation number, and the date of publication is indicated using a color scale. Plot generated by VOSviewer. can be helpful, it also means that only a limited portion of the synthetic conditions space (also known as chemical space) is typically explored. Even further, the lack of reported negative results (i.e., a synthesis which did not lead to the formation of ZIF-8) also influences the explored conditions and establishes unintentional biases. These factors must be taken into account when extracting information from literature; by no means the absence of data points in a given set of conditions or portion of the chemical space can be thought as an indicator of the non-viability of those conditions towards ZIF-8 synthesis. From the above discussion, it can only be further stressed the need for a skeptical vision from experts to interpret the results from these sparse and small sub-sets. It is important to note that automatization of data extraction from literature is by no means trivial due to its unstructured organization.