GRIIDC, a multidisciplinary data repository, was formed in response to the 2010 Deepwater Horizon oil spill in the Gulf of Mexico. Due to its origin, GRIIDC initially focused on user needs to ingest data quickly. The repository has since shifted focus to meeting data sharing standards and best practices that have been developed since GRIIDC’s inception. FAIR data principles, ensuring data are Findable, Accessible, Interoperable, and Reusable, have become the guiding light for GRIIDC’s development priorities and data curation policies. Well-documented ISO-1911502 metadata is created for each dataset and includes user-provided and automated attribute information. Abstract, parameters and units, keywords, spatial extent, citation information, data usage policy, related publication DOI, and other information are provided in the metadata in human- and machine-readable forms, meeting many FAIR principles. The data-sharing community is always developing new standards including the TRUST principles published in 2020 for data repositories: Transparency, Responsibility, User Focus, Sustainability, and Technology. GRIIDC has and continues to address aspects of the TRUST principles including providing terms of use to users and following metadata standards, which allows transparent and responsible usage of data. Providing services to data depositors and monitoring for funders and journal editors are examples of ways that GRIIDC has prioritized a user focus. The repository is also committed to providing interoperable and re-usable data to researchers from multiple disciplines. Current software and policy developments will further GRIIDC’s adoption of TRUST principles. New software is near completion to support controlled vocabularies, which will add capabilities for users. Additionally, a long- term data management plan is being developed to improve transparency and sustainability of the repository. Data repositories have a responsibility to continue to adopt community standards and best practices. GRIIDC is committed to learn, grow, and adapt to support the improvement of open data.