Sharing Data from an Academic Cancer Center Biospecimen and Proteomic Core Facilities through the Proteomics Data Commons

P. McGarvey, Ratna R. Thangudu, Junfeng Ma, Ci Wu, Shabeeb Kannattikuni, Krysta Chaldekas, D. Berry, Alicia Francis, D. Singhal, P. Rudnick, An, Basu, Subha Madhavan
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Abstract

Data sharing is critical for open science and often required by funding organizations and journals. NCI has developed the Proteomics Data Commons (PDC) as part of the Cancer Research Data Commons, an infrastructure that allows users to share, analyze, and store results, utilizing the storage and compute resources of the cloud. To date most of the data available in the various Data Commons are submitted from large multi-institution research programs funded by NCI with teams of specialists from multiple scientific disciplines. Here we describe our experiences and summarize the recommended best practices for sharing a set of proteomics and related biospecimen data and analyses results from smaller scale proteomics studies conducted in an academic medical center core facility using patient samples of lung adenocarcinoma. Mapping and depositing data in the manner described here harmonizes user’s data to a common data model and community standards, making it possible to view the data alongside other high value cancer studies available in the PDC. Availability: Data, metadata, protocols with peptide and protein identifications are available at the PDC. (https:// pdc.cancer.gov/pdc/study/PDC000231).
通过蛋白质组学数据共享共享来自学术癌症中心生物标本和蛋白质组学核心设施的数据
数据共享对开放科学至关重要,资助组织和期刊经常要求数据共享。NCI开发了蛋白质组学数据共享(PDC),作为癌症研究数据共享的一部分,这是一个允许用户共享、分析和存储结果的基础设施,利用云的存储和计算资源。迄今为止,各种数据共享中可用的大多数数据都是由NCI资助的大型多机构研究项目提交的,这些项目由来自多个科学学科的专家团队组成。在这里,我们描述了我们的经验,并总结了分享一组蛋白质组学和相关生物标本数据的推荐最佳实践,以及在学术医疗中心核心设施中使用肺腺癌患者样本进行的小规模蛋白质组学研究的分析结果。以本文描述的方式映射和存储数据将用户数据与公共数据模型和社区标准相协调,从而可以与PDC中其他高价值的癌症研究一起查看数据。可用性:数据、元数据、多肽和蛋白质鉴定协议可在PDC获得。(https:// pdc.cancer.gov / pdc /研究/ PDC000231)。
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