The Immune Epitope Database (IEDB) is a public resource that collects and provides immune epitope data from scientific literature. It includes data on antibody, T cell, and MHC binding contexts related to infectious, allergic, autoimmune, and transplant diseases. The IEDB has been publicly accessible for over 10 years and has focused on improving query and reporting functionality to meet user needs. The database contains over 1.6 million experiments representing the adaptive immune response to epitopes. The IEDB has a user-friendly search interface that allows users to search for epitopes based on various parameters, including organism, antigen, host, assay, MHC, and disease. The IEDB also provides detailed information on each epitope, including experimental contexts and links to 3D structures. The IEDB has integrated formal ontologies to provide users with accepted nomenclature for each data type and to facilitate understanding and searching of data. The IEDB has also adopted the FAIR principles to improve data guidelines for public data repositories. The IEDB plans to continue improving its website and integrating new ontologies to enhance interoperability with other resources. The IEDB also plans to develop more complex ontology modeling of its data and to improve the RDF/OWL representation of the IEDB. The ultimate goal is to facilitate immunology research by making the IEDB more accessible and user-friendly.The Immune Epitope Database (IEDB) is a public resource that collects and provides immune epitope data from scientific literature. It includes data on antibody, T cell, and MHC binding contexts related to infectious, allergic, autoimmune, and transplant diseases. The IEDB has been publicly accessible for over 10 years and has focused on improving query and reporting functionality to meet user needs. The database contains over 1.6 million experiments representing the adaptive immune response to epitopes. The IEDB has a user-friendly search interface that allows users to search for epitopes based on various parameters, including organism, antigen, host, assay, MHC, and disease. The IEDB also provides detailed information on each epitope, including experimental contexts and links to 3D structures. The IEDB has integrated formal ontologies to provide users with accepted nomenclature for each data type and to facilitate understanding and searching of data. The IEDB has also adopted the FAIR principles to improve data guidelines for public data repositories. The IEDB plans to continue improving its website and integrating new ontologies to enhance interoperability with other resources. The IEDB also plans to develop more complex ontology modeling of its data and to improve the RDF/OWL representation of the IEDB. The ultimate goal is to facilitate immunology research by making the IEDB more accessible and user-friendly.