lesSDRF Is More: Maximizing The Value Of Proteomics Data Through Streamlined Metadata Annotation

Abstract Sharing data and resources has revolutionized life sciences, particularly in proteomics, where public data has enabled researchers to reanalyze and reinterpret data in novel ways. However, the lack of comprehensive metadata remains a significant challenge to unlocking the full potential of publicly shared data. In response, the Sample and Data Relationship Format (SDRF) Proteomics was developed, However, its complexity presents several challenges. This study investigated metadata annotations in proteomics data sets from the PRIDE database and the corresponding publications, and identified major gaps in metadata provision. To bridge this gap, we created a user-friendly, ontology-based Streamlit application, named lesSDRF, that guides users through the annotation process using SDRF. lesSDRF aims to encourage researchers to provide more detailed metadata annotations, leading to greater insights and scientific advances in proteomics. By addressing this issue, we can facilitate more collaborative efforts and enhance our understanding of biological processes. LesSDRF is available via https://compomics-lessdrf-home-2rdf84.streamlit.app/.