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: 10468362
• 负责人: Joost B Wagenaar
• 金额: $ 128.74万
• 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 2022-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10468362
• 关键词: Pennsieve; scalable; sustainable; platform; scientific

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 Blackfynn 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. Blackfynn will expand its platform to support the specific needs of the SPARC investigators and develop infrastructure to integrate with deliverables from the SPARC SIM-CORE and MAP-CORE. - Drive collaborative efforts with the other SPARC cores and investigators and promote interoperability and seamless integration of systems. Blackfynn 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 Blackfynn platform at cost.

科学和医疗数据在规模、复杂性和数据集数量方面呈指数级增长。挑战在于如何最好地利用这些过多的数据，建立生命系统的解释性和预测性模型，并发现将导致改进医学诊断和治疗的生物标志物。关键的瓶颈在于软件对发现的支持。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。 Blackfynn平台直接满足这些需求，为大数据团队科学提供支持。 我们的平台为多模态数据提供了单一无缝的数据访问和管理点。它可以快速查看和搜索，整合和链接各种模式的数据，然后通过自定义或标准化工具进行分析。我们对该计划的承诺主要集中在三个方面： - 开发一个基于云的科学数据管理平台，以满足研究人员的需求。Blackfynn将扩展其平台，以支持调查人员的特定需求，并开发基础设施，以集成来自SIM-CORE和MAP-CORE的可交付成果。 - 推动与其他核心调查人员和调查人员的协作，促进系统的互操作性和无缝集成。Blackfynn将开发流程和工具，以支持该计划内的协调。我们将创建一个开放的架构，并增强我们的平台，以促进协作和工具互操作性。 - 为神经科学界开发一个可持续的生态系统，超越神经科学倡议。如果没有一个明确的战略，将选定平台的使用范围扩大到可持续发展工作之外，本项目的努力将付诸东流。我们将与Blackfynn团队合作开发解决方案，以保证可持续性，并开发一个开放的数据交换平台，任何人都可以使用该平台以成本价查找和访问Blackfynn平台上托管的公共数据。