Validation of blocking TSP4/Cava2d1 interaction as a new target for neuropathic pain

验证阻断 TSP4/Cava2d1 相互作用作为神经性疼痛的新靶点

• 批准号: 10552492
• 负责人: ZHIGANG David LUO
• 金额: $ 9.59万
• 依托单位: UNIVERSITY OF CALIFORNIA-IRVINE
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-05-01 至 2024-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10552492
• 关键词: Award; Communities; Data; Data Set; Ensure; Evaluation; FAIR principles; Guidelines; Helping to End Addiction Long-term; Individual; Policies; Self Assessment; Services; United States National Institutes of Health; Validation; base; data management; data sharing; improved; painful neuropathy; preservation; repository; thrombospondin 4; transmission process

Abstract We generate a wide variety of datasets and file types from our current HEAL-Initiative award (1R01DE029202). Since a lot of these individual datasets may not have accepted community standards for transmission to and storage at selected repositories, it is very difficult, if not impossible, for data centralized management and sharing access by others, cross-discoverability, interpretation, reuse, and long-term preservation. To improve our data management and sharing practice, we propose the following: (1) plans for conducting a self-assessment to identify gaps or deficiencies in FAIRness unique to our data based on the guidelines from FAIR Evaluation Services (FAIRSharing.org); (2) Plans for improving data FAIRness and developing or enhancing a data management and sharing plan to be in line with current NIH policies; (3) Steps toward implementing enhanced data management and sharing. Successful completion of the proposal will improve our data FAIRness, data management and sharing practice to ensure in line with the NIH Policy for Data Management and Sharing.

抽象的 我们根据当前的 HEAL-Initiative 奖项 (1R01DE029202) 生成了各种数据集和文件类型。 由于许多这些单独的数据集可能尚未接受传输和传输的社区标准 存储在选定的存储库中，数据集中管理和共享即使不是不可能，也是非常困难的 他人访问、交叉发现、解释、重用和长期保存。改善我们的数据 针对管理和共享实践，我们提出以下建议： (1) 开展自我评估计划 根据公平评估的指导方针，识别我们数据特有的公平性差距或缺陷 服务（FAIRSharing.org）； (2) 提高数据公平性以及开发或增强数据的计划 管理和共享计划符合当前的 NIH 政策； (3) 实施强化措施的步骤 数据管理和共享。提案的成功完成将提高我们数据的公平性，数据 管理和共享实践，以确保符合 NIH 数据管理和共享政策。