Pennsieve: A scalable and sustainable platform for scientific data integration and analysis

Pennsieve：用于科学数据集成和分析的可扩展且可持续的平台

• 批准号: 10899813
• 负责人: Joost B Wagenaar
• 金额: $ 165.35万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-21 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10899813
• 关键词: Address; Architecture; Biological Markers; Collaborations; Communities; Computer software; Custom; Data; Data Analyses; Data Set; Diagnosis; Ecosystem; Fostering; Infrastructure; Link; Medical; Modality; Neurosciences; Organism; Process; Research Personnel; Security; Standardization; System; Work; big-data science; cloud based; cost; data access; data exchange; data integration; data management; experience; improved; interoperability; multimodal data; next generation; open data; predictive modeling; programs; tool

Scientific and medical data are growing exponentially, in terms of size, complexity, and sheer number of datasets. The challenge lies in how to best tap this plethora of data, to build explanatory and predictive models of living systems, and to discover the biomarkers that will lead to improved medical diagnoses and treatments. The critical bottleneck lies in software support for enabling discovery. The next generation software platform for scientific discovery will require a focus on sustainability, security, user-experience, and accessibility. The Pennseive Platform directly addresses these needs, enabling team science for big data. Our platform provides a single seamless point of data access and management for multi-modal data. It enables rapid viewing and search, integration and linking of data across modalities, followed by analysis via custom or standardized tools. Our commitment to the SPARC program is focused on three main thrusts: - Develop a cloud-based scientific data management platform tailored to the needs of SPARC investigators. The University of Pennsylvania will expand the Pennseive platform to support the specific needs of the SPARC investigators and develop infrastructure to integrate with deliverables from the SPARC K-CORE, SIM-CORE, and MAP-CORE. - Drive collaborative efforts with the other SPARC cores and investigators and promote interoperability and seamless integration of systems. The University of Pennsylvania will develop processes and tools to support coordination within the SPARC program. We will create an open architecture and enhance our platform to foster collaboration and tool interoperability. - Develop a sustainable ecosystem for the neuroscience community outside and beyond the SPARC initiative. Efforts in this project will be lost without a clear strategy to expand use of the selected platform(s) beyond the SPARC effort. We will work with the SPARC team to develop solutions to guarantee sustainability and develop an open data exchange platform that can be used by anyone to find and access public data hosted on the Pennseive platform at cost. Components of this study are part of the NIH’s Helping to End Addiction Long-term (HEAL) initiative to speed scientific solutions to understand the basis of pain and enhance clinical pain management.

科学和医学数据在大小，复杂性和庞大的数据集方面呈指数增长。挑战在于如何最好地利用这些大量数据，建立生命系统的利用和预测模型，以及发现将改善医学诊断和治疗方法的生物标志物。关键的瓶颈在于软件支持启用发现。用于科学发现的下一代软件平台将需要关注可持续性，安全性，用户体验和可访问性。 Pennseive平台直接满足这些需求，从而使团队科学获得了大数据。我们的平台为多模式数据提供了一个无缝的数据访问和管理点。它可以快速查看和搜索，集成和跨模式的数据链接，然后通过自定义或标准化工具进行分析。我们对SPARC计划的承诺集中在三个主要推力上： - 开发一个基于云的科学数据管理平台，该平台量身定制了SPARC研究人员的需求。宾夕法尼亚大学将扩大逐步的平台，以支持SPARC调查人员的特定需求，并开发基础架构，以与SPARC K-core，SIM核心和地图核心的可交付成果集成。 - 推动与其他SPARC核心和研究人员的合作努力，并促进系统的互操作性和无缝集成。宾夕法尼亚大学将开发过程和工具以支持SPARC计划中的协调。我们将创建一个开放的体系结构并增强我们的平台以促进协作和工具互操作性。 - 为SPARC计划以外的神经科学社区开发一个可持续的生态系统。如果没有明确的策略，将丢失该项目的努力，以扩大对SPARC努力之外的所选平台的使用。我们将与SPARC团队合作开发解决方案，以确保可持续性并开发一个开放的数据交换平台，任何人都可以用来以成本来查找和访问在Pennseive平台上托管的公共数据。 这项研究的组成部分是NIH的一部分，有助于结束长期成瘾（治愈）倡议，以加快科学解决方案，以了解疼痛的基础并增强临床疼痛管理。