DataWiz - An Automated Assistant for the Management of Psychological Research Data

很长一段时间以来，数据共享在科学界并不常见。最近对科学程序的批评（参见复制危机）和科学工作流程的数字化，另一方面促进了开放科学实践。在心理学领域，DataWiz是一个开放的科学工具，它追求以下战略目标：(1)在心理学领域建立足够的研究数据管理；(2)可持续地存储研究数据；(3)提供共享数据的激励。DataWiz辅助系统是一个同时为数据共享提供知识库和程序支持的专家系统。其标准化格式和接口允许并鼓励将研究数据转移到已建立的数据存档。还有额外的好处，如研究注册的便利和符合出版商或编辑的要求。研究社区的积极反馈清楚地表明，在DataWiz的帮助下，数据共享可以激增。然而，测试用户和早期采用者对DataWiz的可用性和连接性表示担忧，这危及了它作为心理学中广泛使用的研究工具的建立。因此，在后续项目中，DataWiz的可用性将在实验室和现场环境中进行评估，并根据用户的反馈进行改进。将测试各种研究背景，确定问题并实施解决方案。此外，用于DataWiz和其他研究支持系统之间自动交换信息的机器对机器通信将基于已建立的轻量级协议（如SWORD或REST）进行开发。这些协议将用于将DataWiz的内容存储到数字存储库或将数据收集或数据分析软件（例如SurveyMonkey， R）连接到DataWiz。此外，将开发数字研究对象包（DROs），以进一步增强DataWiz对FAIR数据原则的遵从性（使数据可查找、可访问、可互操作和可重用）。可用性和连接性方面的改进将优化DataWiz在整个心理学研究领域的适用性，使其成为广泛使用的专业工具。

For a long time, data sharing was not very common in the science community. Recent criticisms of scientific procedures on the one hand (cf. replication crisis) and the digitization of scientific workflows on the other hand have fostered open science practices. In psychology, DataWiz is an open science tool that pursues the following strategic goals: (1) establishing domain-adequate research data management in psychology and (2) storing the research data sustainably (3) providing incentives to share the data. The DataWiz assistance system is an expert system which provides the knowledge base and procedural support for data sharing simultaneously. Its standardized formats and interfaces allow and encourage the transfer of research data to an established data archive. There are additional benefits, such as the facilitation of study registration and compliance with publishers’ or editors’ requirements. The positive feedback of the research community clearly shows that data sharing can be proliferated with the help of DataWiz. However, test users and early adopters voice concerns about the usability and connectivity of DataWiz which endangers its establishment as a widely used research tool in Psychology. Therefore, in a follow-up project the DataWiz usability will be evaluated in laboratory and field settings and improved according to users’ feedback. Various research contexts will be tested, problems identified and solutions implemented. In addition, machine to machine communication for the automatic exchange of information between DataWiz and other research support systems will be developed based on established lightweight protocols like SWORD or REST. Those protocols will be used for depositing content from DataWiz to a digital repository or for connecting data collection or data analysis software (e.g. SurveyMonkey, R) to DataWiz. Furthermore, digital Research Object Bundles (DROs) will be developed to further enhance DataWiz’ compliance with the FAIR data principles (to make data Findable, Accessible, Interoperable, and Re-usable). The improvements in usability and connectivity will optimize DataWiz applicability for the entire spectrum of psychological research and make it a widely used professional tool.