by mid-April 2021, GISAID's SARS-CoV-2 database reached over 1,200,000 submissions, a testament to the hard work of researchers in over 170 different countries. Only three months later, the number of uploaded SARS-CoV-2 sequences had doubled again, to over 2.4 million. By late 2021, the database contained over 5 million genome sequences; as of December 2021, over 6 million sequences had been submitted; by April 2022, there were 10 million sequences accumulated; and in January 2023 the number had reached 14.4 million. Throughout the first year of the COVID-19 pandemic, most of the SARS-CoV-2 whole-genome sequences that were generated and shared globally were submitted through GISAID. When the SARS-CoV-2 Omicron variant was detected in South Africa, by quickly uploading the sequence to GISAID, the National Institute for Communicable Diseases there was able to learn that Botswana and Hong Kong had also reported cases possessing the same gene sequence. Governance GISAID's governance structure provides for several organizational bodies that operate independently of each other, with the aim to guard against bias in decision-making. GISAID's administrative affairs are overseen by a board of trustees expected to minimize potential conflicts of interest concerning GISAID's funding sources. Scientific oversight of the initiative comes from its Scientific Advisory Council made up of directors of leading public health laboratories including all six WHO Collaborating Centres for Influenza, and directors of animal health reference laboratories for research on avian influenza for the World Organisation for Animal Health and the Food and Agriculture Organization of the United Nations. This governance structure is meant to improve the functional capabilities of the EpiFlu™ database managed by GISAID's Database Technical Group, composed of experts in virus sequencing and bioinformatics, who represent the user community to interact with software and developers of tools for analysis. Access and intellectual property Unlike public-domain databases such as GenBank and EMBL, users of GISAID must have their identity confirmed and agree to a Database Access Agreement that governs the way GISAID data can be used. These Terms of Use prevent users from sharing any data with other users who have not agreed to the Terms of Use. The Terms of Use require that users of the data must acknowledge the data generators in published work, and also make a reasonable attempt to collaborate with data generators and involve them in research and analysis that uses their data. A difficulty that GISAID's Data Access Agreement attempts to address