NFDI4Chem, part of Germany s National Research Data Infrastructure (NFDI), is transforming data workflows in chemistry by enabling semantic, machine-actionable research data through integrated services and community engagement. Central to its efforts are standards such as ontologies and metadata schemas, which underpin the entire data lifecycle. The consortium curates a collection of chemistry-specific ontologies and organises the annual international Ontologies4Chem Workshop to foster harmonisation across the chemistry ontology community. NFDI4Chem provides a Terminology Service (TS) to support seamless embedding and use of ontologies in tools like Electronic Laboratory Notebooks (ELNs) and data repositories enabling semantic annotation of chemical entities, reactions, and experimental conditions thus providing full provenance of data generation. ELNs are the core tools in supporting data and metadata creation. They allows researchers to capture, analyse, and document data directly in the lab and to transfer it into a federation of chemistry repositories. These repositories, endorsed by over 30 journals, facilitate publication, long-term archiving and reuse. To promote standardisation in data and metadata, NFDI4Chem developed Minimum Information for Chemical Investigations (MIChI), offering guidelines, data models, and checklists. These are used to ensure data quality across services and are implemented in metadata schemas tailored for chemistry. The metadata of the repository federation is harvested and indexed by the NFDI4Chem Search Service, currently covering around 140,000 datasets. In summary, NFDI4Chem enables semantic workflows from data creation to reuse, paving the way for machine-actionable data and the creation of chemistry knowledge graphs to support future research and AI applications.