SODA - Desktop Software to Enhance the SPARC Data Curation Workflow

随着科学变得数据密集化和协作化，数据共享和重用正在变得 对于快速发现和创新越来越重要。虽然分享很简单，只需点击几下 在这个数字数据时代，除非有一些严格的数据管理标准，否则很难重用 紧随其后。为了解决这个问题，向所有SPARC资助的研究人员提供了管理指南 用于组织和共享他们的数据集，以便没有直接参与 数据收集和分析可以快速理解和使用数据，这是由 公平原则。然而，遵守这些指导方针需要额外的时间投入 来自研究人员，并容易受到人为错误的影响。因此，数据管理过程可能会变成 随着生成越来越多的数据，并最终控制方向，这既耗时又不堪重负 将重点从数据收集和分析上移开。这个项目的目标是继续 SODA(数据自动组织软件)的开发，该软件是 开发的目的是帮助SPARC资助的研究人员管理他们的数据集。作为开放源码分发 而跨平台的桌面应用，苏打的目标是架起一座由来已久、 忽略了全面数据标准与其便捷应用之间的差距 研究人员。这是通过提供交互界面来实现的，该交互界面无需任何 编码知识，带领SPARC研究人员一步一步地完成数据管理过程，所有 同时自动执行重复、复杂和耗时的任务。在这一阶段， 开发过程中，将向SODA添加六个新功能：1)完整的文件组织界面 较低级别的文件夹支持；2)协作数据管理；3)应用内更新；4)增强支持 用于生成元数据文件；5)增强的数据集验证器；6)文件级管理支持。这个 拟议的项目非常重要，因为它具有简化和增强SPARC数据的潜力 管理过程。计算机辅助数据管理不仅将减少 研究人员需要组织他们的数据，但也要最大限度地减少--如果不是消除--人为错误。由此产生的 SPARC数据的快速传播将加强SPARC加速 调节神经电活动以改善器官功能的治疗装置的开发 功能。

As science is becoming data-intensive and collaborative, data sharing and reusing are becoming increasingly important for rapid discovery and innovation. While sharing is as easy as few clicks in this era of digital data, reusing is difficult unless some strict data curation standards are followed. To address this issue, curation guidelines are provided to all SPARC funded researchers for organizing and sharing their datasets such that researchers who were not directly involved in data collection and analysis can rapidly understand and work with the data, as promoted by the FAIR principles. Complying with these guidelines, however, requires additional time investment from the researchers and is subject to human error. The data curation process could thus become time-consuming and overwhelming as more and more data is generated and, eventually, steer the focus away from data collection and analysis. The objective of this project is to continue the development of SODA (Software for Organizing Data Automatically), the software being developed to assist SPARC funded researchers in curating their datasets. Distributed as an opensource and cross-platform desktop application, the goal of SODA is to bridge a long-standing, overlooked gap between comprehensive data standards and their convenient application by researchers. This is achieved by providing an interactive interface that, without requiring any coding knowledge, walks SPARC researchers step-by-step through the data curation process, all the while automating repetitive, complex, and time-consuming tasks. During this phase of development, six new features will be added to SODA: 1) Full file organization interface with lower-level folder support; 2) Collaborative data curation; 3) In-app updating; 4) Enhanced support for generating metadata files; 5) Enhanced dataset validator; 6) File-level curation support. The proposed project is very significant for its potential to simplify and enhance the SPARC data curation process. Computer-assisted data curation will not only reduce the time required by researchers to organize their data but also minimize – if not eliminate – human error. The resulting rapid dissemination of SPARC data will enhance SPARC’s mission of accelerating the development of therapeutic devices that modulate electrical activity in nerves to improve organ function.