Collaborative Research: Cross-Cutting Improvements: Non-Clinical Tomography Users Research Network (NoCTURN)

协作研究：跨领域改进：非临床断层扫描用户研究网络 (NoCTURN)

• 批准号: 2226185
• 负责人: Edward Stanley
• 金额: $ 39.87万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-15 至 2025-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2226185&HistoricalAwards=false
• 关键词: Collaborative; Research; Cross; Cutting; Improvements

The NoCTURN (Non-Clinical Tomography Users Research Network) research coordination network will improve standardization and adoption of FAIR data guiding principles for non-clinical tomography, broadly understood here as data-gathering technologies used in a wide variety of research disciplines to obtain sectional scans of physical objects and samples by use of wave signals. The project will coordinate with more than one hundred participating institutions and groups, both public and private, on needed standardization of common, core requirements for data reuse, such as metadata, storage, and interoperability. The goal of the project is to increase the research value of tomographic datasets, foster interdisciplinary collaborations, and create new opportunities for linked data initiatives and metadata aggregation or analysis.The nonstandard formats of tomography scans currently limit data reuse because datasets often cannot be shared and quickly become obsolete once the proprietary software that generated them is deprecated. As a result, digital warehouses for publicly funded tomography data such as Morphobank, Morphosource, and Phenome10K tend only to host outputs from specific steps in the data generation pipeline that utilize non-proprietary file formats such as .TXT (for metadata), .TIFF (for image stacks), and .STL (for digital 3D objects). Intermediate data, including detector outputs, reconstruction algorithm parameters, 3D volume files, and segmentation editor files, often are considered to be transient because they have no cross-platform utility. As a result, files representing these data generally are not made accessible, rendering it impossible to replicate each step of the data-capture and processing pipeline. This curtails methodological repeatability and data reuse, and it forestalls future advances in image processing that could augment data already in hand. These challenges can be overcome through better connectivity across the tomographic community and to that end a network of more than one hundred representatives from diverse fields of research, education, and industry ranging from established practitioners at the forefront of tomographic science as well as early career scholars have come together for this project to develop and foster adoption of new standards for data sharing across multiple disciplines.This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Directorate for Engineering and the Directorate for Biological Sciences.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

NoCTURN（非临床断层扫描用户研究网络）研究协调网络将改进非临床断层扫描的FAIR数据指导原则的标准化和采用，在这里被广泛理解为用于各种研究学科的数据收集技术，以通过使用波信号获得物理对象和样本的截面扫描。 该项目将与100多个参与机构和团体（包括公共和私营机构）就数据重用的共同核心要求（如元数据、存储和互操作性）的必要标准化进行协调。该项目的目标是提高断层扫描数据集的研究价值，促进跨学科合作，并为关联数据计划和元数据聚合或分析创造新的机会。断层扫描的非标准格式目前限制了数据的重用，因为数据集通常无法共享，一旦生成它们的专有软件被弃用，它们很快就会过时。因此，用于公共资助的断层扫描数据的数字仓库（如Morphobank、Morphosource和Phenome10K）往往只托管数据生成管道中特定步骤的输出，这些输出使用非专有文件格式，如.TXT（用于元数据）、.TIFF（用于图像堆栈）和.STL（用于数字3D对象）。中间数据（包括探测器输出、重建算法参数、3D体积文件和分割编辑器文件）通常被认为是瞬态的，因为它们没有跨平台实用程序。因此，表示这些数据的文件通常无法访问，从而无法复制数据捕获和处理管道的每个步骤。这限制了方法的可重复性和数据的重复使用，并阻止了图像处理的未来进步，这些进步可能会增加现有的数据。这些挑战可以通过更好地连接整个层析成像社区来克服，并为此建立了一个由来自不同研究，教育，从断层扫描科学前沿的资深从业者到早期的职业学者，业界和业界都聚集在一起，共同参与这个项目，开发和促进采用跨多学科数据共享的新标准。该奖项由高级网络基础设施办公室颁发，由工程理事会和生物科学理事会共同支持。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。