SODA - Desktop Software to Enhance the SPARC Data Curation Workflow

随着科学变得数据密集和协作，数据共享和重用正在成为 对于快速发现和创新越来越重要。虽然分享是一样简单的几个点击 在这个数字数据时代，除非有一些严格的数据管理标准， 跟踪了为了解决这个问题，向所有受资助的研究人员提供了策展指南 组织和共享他们的数据集，使那些没有直接参与的研究人员 数据收集和分析可以快速理解和处理数据， 公平原则。然而，遵守这些准则需要额外的时间投资 这是研究人员的错误，也是人为的错误。因此，数据管理过程可以成为 随着越来越多的数据被生成， 把重点从数据收集和分析上转移开。该项目的目标是继续 SODA（Software for Organizing Data Automatically）软件开发 开发的目的是帮助研究人员管理他们的数据集。作为开源发布 和跨平台的桌面应用程序，SODA的目标是桥接一个长期存在的， 全面的数据标准与其方便的应用之间的差距被忽视， 研究人员这是通过提供交互式界面来实现的，而不需要任何 编码知识，引导研究人员一步一步地完成数据策展过程，所有 同时自动化重复、复杂和耗时的任务。在这一阶段， 开发，六个新的功能将被添加到SODA：1）完整的文件组织接口， 低级别文件夹支持; 2）协作数据策展; 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）文件级策展支持。的 拟议的项目是非常重要的，因为它有可能简化和增强遥感数据 策展过程。计算机辅助数据管理不仅可以减少 研究人员组织他们的数据，但也最大限度地减少-如果不是消除-人为错误。所得 数据的快速传播将加强数据中心的使命， 调节神经中的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.