Molecular Descriptors and Fingerprints: Cheminformatics involves the calculation of molecular descriptors and fingerprints, which are numerical or graphical representations of molecular structures and properties. These are used in machine learning models to predict chemical compounds' activities, properties, or toxicities. Database Mining and Virtual Libraries: With the proliferation of chemical databases (e.g., PubChem, ChEMBL, Scifinder), scientists can mine vast amounts of data to identify compounds with desirable properties or structural motifs, significantly speeding up the discovery process. Research Data Management (RDM), the FAIR principles, and Open Digital Chemistry: RDM involves the organized and systematic handling of data throughout its lifecycle to adhere to the FAIR principles (Findable, Accessible, Interoperable, and Reusable (Figure )) , and facilitates Open Digital Chemistry, promoting transparent and collaborative research practices in the field. , Cheminformatics will also deal with patents, standard operation procedures, and GHS/EHS Management.