“…The incentives to implement data management practices are clear, and although there exists Conceptual guidance on best practices within the broader scientific community (e.g., the FAIR Guiding Principles for scientific data management and stewardship, Wilkinson et al, 2016;and the CARE Principles for Indigenous data governance, Carroll et al, 2020Carroll et al, , 2021Jennings et al 2023), implementation remains challenging (Box 2). Contributing factors include the sheer volume of these information-rich datasets and the associated resource requirements (i.e., the time and financial costs of data curation, maintenance, and processing; Batley & Edwards, 2009;Chiang et al, 2011;Grigoriev et al, 2012;Schadt et al, 2010), as well as the inability of existing data standards, infrastructures, and repositories to keep pace with the needs of this research community (e.g., Crandall et al, 2023;Liggins et al, 2021). Best practices for biodiversity genomic data management are an active area of discussion among the biodiversity genomics community Fadlelmola et al, 2021;Field et al, 2008;Liggins et al, 2021;Yilmaz et al, 2011).…”