OpenNeuro: An open archive for analysis and sharing of BRAIN Initiative data

OpenNeuro：用于分析和共享 BRAIN Initiative 数据的开放档案

基本信息

批准号：
10451257
负责人：
Russell A Poldrack
金额：
$ 162.99万
依托单位：
STANFORD UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-15 至 2028-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10451257
关键词：
Address Adoption Agreement Architecture Archives BRAIN initiative Brain Brain imaging Client Collaborations Computer software Custom Data Data Set Databases Dedications Development Electroencephalography Electromagnetics Ensure FAIR principles Funding Funding Agency Goals Grant Growth Health Human Informatics Investments Licensing Link Magnetic Resonance Imaging Manuals Measures Metadata Modality Neurosciences Neurosciences Research Ontology Performance Policies Positron-Emission Tomography Process Public Domains Quality Control Reporting Reproducibility Request for Proposals Research Research Personnel Retrieval Side Site Specific qualifier value Standardization Statistical Models System Testing United States National Institutes of Health Work data archive data integration data management data modeling data reuse data sharing data structure digital object identifier distributed archives flexibility human subject improved neuroimaging neurophysiology open data permissiveness programs repository sharing platform software development success usability web site

项目摘要

Project Summary/Abstract The BRAIN Initiative is supporting a broad portfolio of neuroscience research aimed at revolutionizing our understanding of the brain. The sharing of data obtained from this research is critical both to leveraging this major public investment and to ensuring the rigor and reproducibility of NIH-funded research. We propose a renewal of support for the OpenNeuro data archive, which provides a platform for the storage, processing, and sharing of neuroimaging data collected as part of the BRAIN Initiative. OpenNeuro enables researchers to easily share a broad range of neuroscience data types, based on the Brain Imaging Data Structure standard for organizing datasets. The platform shares data openly and provides researchers with several avenues to access and reuse the data. In the renewal period we propose to continue supporting a high level of performance for the archive, and to extend the work done in the initial grant period. First, we will provide a specialized portal for BRAIN Initiative investigators, which will help more clearly link their research to funding sources, and to provide them with the ability to more flexibly select an appropriate data use agreement. We will also implement enhanced user profiles, linking shared datasets to standard researcher identities through the ORCID system. Second, we will enhance the ability to search for datasets by improving the ability for researchers to specify metadata that is linked to standard ontologies. Third, will improve the reusability of OpenNeuro datasets by providing support for the sharing of derivative data as well as statistical models, and by providing preprocessed data and quality control reports. Together, these improvements will sustain the success of the OpenNeuro archive and provide neuroscientists with increasingly usable data to address fundamental problems of brain function and health.

项目概要/摘要 BRAIN Initiative 正在支持广泛的神经科学研究，旨在彻底改变我们的大脑对大脑的了解。从这项研究中获得的数据的共享对于利用这项研究至关重要主要公共投资并确保 NIH 资助的研究的严谨性和可重复性。我们提出一个更新对 OpenNeuro 数据存档的支持，该存档提供了一个用于存储、处理和分析的平台共享作为 BRAIN Initiative 的一部分收集的神经影像数据。 OpenNeuro 使研究人员能够轻松基于脑成像数据结构标准，共享广泛的神经科学数据类型组织数据集。该平台公开共享数据，并为研究人员提供多种访问途径并重用数据。在更新期间，我们建议继续支持高水平的绩效归档，并延长初始资助期内完成的工作。首先，我们将提供一个专门的门户网站 BRAIN Initiative 的研究人员，这将有助于更清晰地将他们的研究与资金来源联系起来，并提供他们能够更灵活地选择合适的数据使用协议。我们还将实施强化用户配置文件，通过 ORCID 系统将共享数据集链接到标准研究人员身份。第二，我们将通过提高研究人员指定元数据的能力来增强搜索数据集的能力链接到标准本体。第三，将通过提供支持来提高 OpenNeuro 数据集的可重用性共享衍生数据和统计模型，并提供预处理数据和质量控制报告。这些改进将共同维持 OpenNeuro 档案的成功，并提供神经科学家拥有越来越多的可用数据来解决大脑功能和健康的基本问题。

项目成果

期刊论文数量（13）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Benchmarking explanation methods for mental state decoding with deep learning models.

DOI：
10.1016/j.neuroimage.2023.120109
发表时间：
2023-06
期刊：
NEUROIMAGE
影响因子：
5.7
作者：
Thomas, Armin W.;Re, Christopher;Poldrack, Russell A.
通讯作者：
Poldrack, Russell A.

PET-BIDS, an extension to the brain imaging data structure for positron emission tomography.

DOI：
10.1038/s41597-022-01164-1
发表时间：
2022-03-02
期刊：
Scientific data
影响因子：
9.8
作者：
Norgaard M;Matheson GJ;Hansen HD;Thomas A;Searle G;Rizzo G;Veronese M;Giacomel A;Yaqub M;Tonietto M;Funck T;Gillman A;Boniface H;Routier A;Dalenberg JR;Betthauser T;Feingold F;Markiewicz CJ;Gorgolewski KJ;Blair RW;Appelhoff S;Gau R;Salo T;Niso G;Pernet C;Phillips C;Oostenveld R;Gallezot JD;Carson RE;Knudsen GM;Innis RB;Ganz M
通讯作者：
Ganz M

Topological properties and connectivity patterns in brain networks of patients with refractory epilepsy combined with intracranial electrical stimulation.

DOI：
10.3389/fnins.2023.1282232
发表时间：
2023
期刊：
Frontiers in neuroscience
影响因子：
4.3
作者：
Sun Y;Shi Q;Ye M;Miao A
通讯作者：
Miao A

A comparison of neuroelectrophysiology databases.

DOI：
10.1038/s41597-023-02614-0
发表时间：
2023-10-19
期刊：
Scientific data
影响因子：
9.8
作者：
Subash P;Gray A;Boswell M;Cohen SL;Garner R;Salehi S;Fisher C;Hobel S;Ghosh S;Halchenko Y;Dichter B;Poldrack RA;Markiewicz C;Hermes D;Delorme A;Makeig S;Behan B;Sparks A;Arnott SR;Wang Z;Magnotti J;Beauchamp MS;Pouratian N;Toga AW;Duncan D
通讯作者：
Duncan D

The spectrum of data sharing policies in neuroimaging data repositories.