2023/09/25 by Deborah M. Leigh, Amy G. Vandergast, Maggie Hunter +10 · 1 voice
Computer Science · Decision Sciences · #Research Data Management Practices #Scientific Computing and Data Management
paper · pdf · doi:10.32942/x29025
openalex publication_date 2023/09/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In ecology and evolution, genetic and genomic data are commonly collected for a vast array of scientific and applied purposes. Despite mandates for public archiving, such data are typically used only once by the data-generating authors. The repurposing of genetic and genomic datasets remains uncommon because it is often difficult, if not impossible, due to non-standard archiving practices and lack of contextual metadata. But as the new research field of macrogenetics is demonstrating, if genetic data and their metadata were more accessible, they could be reused for many additional purposes, far beyond their initial intended impact. In this review, we outline the main challenges with existing genetic and genomic data archives, factors underlying the challenges, and current best practices for archiving genetic and genomic data. Recognising that this is a longstanding issue due to an absence of formal data management training within the research field of ecology and evolution, we highlight key steps that universities, funding bodies, and scientific publishers could take to ensure timely change towards good data archiving.