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)

基本信息

批准号：
2226184
负责人：
Morgan Chase
金额：
$ 24.35万
依托单位：
American Museum Natural History
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=2226184&HistoricalAwards=false
关键词：
Collaborative Research Cross Cutting Improvements

项目摘要

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.

夜流（非临床断层扫描用户研究网络）研究协调网络将改善非临床断层扫描的公平数据指导原理的标准化和采用，在这里广泛理解为在各种研究学科中使用的数据收集技术，以通过使用波信号来获取对物理对象和样品进行截面扫描。该项目将根据所需的共同标准化数据重用的核心要求（例如元数据，存储和互操作性）与一百多个参与的机构和公共和私人团体进行协调。该项目的目的是提高层析成像数据集的研究价值，促进跨学科的合作，并为链接的数据计划和元数据聚集或分析创造新的机会。层析成像扫描的非标准格式当前限制了数据重用，因为数据集经常无法共享并迅速被淘汰，并且一旦被剥夺了它们的前所未有的软件。结果，用于公共资助的层析成分数据（例如morphobank，morphosource和phemome10k）的数字仓库倾向于从数据生成管道中的特定步骤中托管输出，这些步骤使用了使用非专用文件格式（例如.txt（用于元数据），.tiff（用于image stacks）和.stl（for digital 3d for Digital 3D objects）。中间数据，包括检测器输出，重建算法参数，3D卷文件和细分编辑器文件，通常被认为是暂时的，因为它们没有跨平台实用程序。结果，通常无法访问代表这些数据的文件，这使得不可能复制数据捕获和处理管道的每个步骤。这削弱了方法论的可重复性和数据重复使用，并且它阻止了图像处理的未来进步，该图像处理可能会增加数据。这些挑战可以通过在整个层析成像社区的更好连通性来克服，到此结束了一个由一百多个代表组成的网络，这些网络来自各种各样的研究，教育和行业领域，从既定的从业人员的既定从业人员在层析成像科学的最前沿以及早期职业学者以及早期的职业学者以及该项目的发展和促进跨越多个学科的新标准的促进和促进新标准的跨越阶层。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响评论标准来评估，这是值得支持的。