Pennsieve: A scalable and sustainable platform for scientific data integration and analysis
Pennsieve: A scalable and sustainable platform for scientific data integration and analysis
批准号:
10468362
负责人:
Joost B Wagenaar
金额:
$128.74万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-21 至 2022-08-31
中文摘要
科学和医学数据在数据集的大小、复杂性和绝对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,以及发现将导致改善医疗诊断和治疗的生物标记物。关键的瓶颈在于支持发现的软件支持。下一代科学发现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平台直接满足了这些需求,实现了大数据的团队科学。我们的平台为多模式数据提供了单一无缝的数据访问和管理点。它实现了跨医疗设备的数据的快速查看和搜索、集成和链接,然后通过定制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方面:
-开发基于云的科学数据管理平台,以满足SPARC调查人员的需求。Blackfynn将扩展其平台,以支持SPARC调查人员的特定需求,并开发基础设施,以与SPARC SIM-core和MAP-core的交付成果相结合。
-推动与其他SPARC核心和调查人员的合作努力,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SPARC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。
-在SPARC倡议之外和之外为神经科学界发展一个可持续的生态系统。如果没有一个明确的战略来扩大所选平台(S)的使用,而不是SPARC的努力,那么这个项目的努力就会付诸东流。我们将与SPARC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来查找和访问Blackfynn平台上托管的公共数据。
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Pennsieve: A scalable and sustainable platform for scientific data integration and analysis
-
批准号:10684486
-
项目类别:
-
资助金额:$138.97万
-
财政年份:2017
-
负责人:Joost B Wagenaar
-
依托单位:
Pennsieve: A scalable and sustainable platform for scientific data integration and analysis
-
批准号:10706737
-
项目类别:
-
资助金额:$7.89万
-
财政年份:2017
-
负责人:Joost B Wagenaar
-
依托单位:
Pennsieve: A scalable and sustainable platform for scientific data integration and analysis
-
批准号:10899813
-
项目类别:
-
资助金额:$165.35万
-
财政年份:2017
-
负责人:Joost B Wagenaar
-
依托单位:
Blackfynn: A scalable and sustainable platform for scientific data integration and analysis
-
批准号:10008601
-
项目类别:
-
资助金额:$258.73万
-
财政年份:2017
-
负责人:Joost B Wagenaar
-
依托单位:
Developing Cloud-based tools for Big Neural Data
-
批准号:8830141
-
项目类别:
-
资助金额:$19.22万
-
财政年份:2014
-
负责人:Joost B Wagenaar
-
依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
-
批准号:--
-
项目类别:合作创新研究团队
-
资助金额:--
-
批准年份:2024
-
负责人:姚韬
-
依托单位: