CNSA: a data repository for archiving omics data

TLDR

High‑throughput sequencing generates massive multi‑omics datasets that require efficient management, biocuration, and traceability across living samples, sample information, and analytical data to enable reuse. CNSA aims to provide a comprehensive, standards‑compliant, freely accessible repository for storing, managing, and sharing omics data worldwide. Built on CNGB, CNSA archives raw and processed omics data organized into six object types—Project, Sample, Experiment, Run, Assembly, and Variation. CNSA has developed a correlation model linking living samples, sample information, and analytical data across selected projects. The CNSA database is available at https://db.cngb.org/cnsa/.

Abstract

Abstract With the application and development of high-throughput sequencing technology in life and health sciences, massive multi-omics data brings the problem of efficient management and utilization. Database development and biocuration are the prerequisites for the reuse of these big data. Here, relying on China National GeneBank (CNGB), we present CNGB Sequence Archive (CNSA) for archiving omics data, including raw sequencing data and its further analyzed results which are organized into six objects, namely Project, Sample, Experiment, Run, Assembly and Variation at present. Moreover, CNSA has created a correlation model of living samples, sample information and analytical data on some projects. Both living samples and analytical data are directly correlated with the sample information. From either one, information or data of the other two can be obtained, so that all data can be traced throughout the life cycle from the living sample to the sample information to the analytical data. Complying with the data standards commonly used in the life sciences, CNSA is committed to building a comprehensive and curated data repository for storing, managing and sharing of omics data. We will continue to improve the data standards and provide free access to open-data resources for worldwide scientific communities to support academic research and the bio-industry. Database URL: https://db.cngb.org/cnsa/.