Continued Development and Maintenance of the Neuroimaging in Python Project

Python 项目神经影像的持续开发和维护

• 批准号: 7648080
• 负责人: MARK D'ESPOSITO
• 金额: $ 33.73万
• 依托单位: UNIVERSITY OF CALIFORNIA BERKELEY
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-10 至 2011-03-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7648080
• 关键词: Achievement; Address; Anus; Architecture; Binding; Brain Mapping; Code; Collaborations; Communities; Computer software; Custom; Databases; Development; Discipline; Documentation; Electroencephalography; Environment; Functional Magnetic Resonance Imaging; Future; Grant; Guidelines; Human; Image; Imagery; Industry; International; Language; Libraries; Licensing; Magnetic Resonance Imaging; Maintenance; Maps; Metadata; Methods; Modality; Names; Neurosciences; Ontology; Ownership; Pattern; Positron-Emission Tomography; Process; Pythons; Quality Control; Reproducibility; Research; Research Infrastructure; Research Personnel; Science; Scientist; Societies; Software Design; Software Engineering; Source; Statistical Methods; Structure; System; Testing; Text; Work; abstracting; base; computer science; design; design and construction; evaluation/testing; graphical user interface; improved; infrastructure development; interoperability; neuroimaging; open source; platform-independent; programs; repaired; repository; software development; symposium; tool; usability

DESCRIPTION (provided by applicant): This grant proposes the continued maintenance, testing, and evaluation of the Neuroimaging in Python (NiPy) project. In particular, we propose to apply best practices and proven methods for software design, construction, and implementation to extend the applicability of NiPy to the larger neuroimaging research community. By addressing the parallel achievements and increased interdependence of neuroimaging research and computing sciences, we will benefit the existing NiPy user community as well as increasing the potential for NiPy to attract significantly more developers and users. We will modernize, refactor, and further develop NiPy into an easy to modify and extend software environment with the ability to be repaired and evolved as the needs of the community of users change. Working closely with the existing NiPy developer community, we aim to improve and enhance NiPy in terms of infrastructure, architecture, interoperability, usability, and reproducibility.

描述（由申请人提供）：该赠款提出了对Python（NIPY）项目中神经影像学的持续维护，测试和评估。特别是，我们建议将最佳实践和经过验证的方法用于软件设计，构建和实施，以扩展NIPY对更大的神经成像研究社区的适用性。通过解决并行成就并增加神经影像学研究和计算科学的相互依存关系，我们将使现有的NIPY用户社区受益，并提高NIPY吸引更多开发人员和用户的潜力。我们将现代化，重构现代化，并进一步发展为易于修改和扩展软件环境，并能够随着用户社区的需求而进行维修和进化的能力。我们与现有的NIPY开发人员社区紧密合作，旨在改善和增强基础设施，体系结构，互操作性，可用性和可重复性方面。