MiShMASh: Microbiome sequence and metadata availability standards
Category
Contribute
Institutions
ETH Zurich
Data type
Microbiome data
Field
Microbiome research
Researchers
Lina Kim
Abstract
Microbiome research relies on vast datasets, demanding unrestricted data access and consistent metadata. This project addresses two core issues: ineffective sequence data statements and inconsistent metadata standards. It proposes a dual solution - a tier-based FAIR ORD standard and compliance assessment software. The project contributes open resources for diverse users, including researchers, journals, and funders. The validation software allows users to evaluate adherence to data and metadata standards, enhancing data reporting for better accessibility, interoperability, and future reusability.