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

在很长一段时间里，数据共享在科学界并不常见。一方面，最近对科学程序的批评(参见另一方面，复制危机)和科学工作流程的数字化促进了开放式科学做法。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)建立心理学领域充足的研究数据管理；(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。其标准化的格式和接口允许并鼓励将研究数据转移到已建立的数据档案。还有其他好处，如促进研究注册和遵守出版商或编辑的要求。研究界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表达了对DataWiz的可用性和连接性的担忧，这危及它作为心理学中广泛使用的研究工具的地位。因此，在后续项目中，将在实验室和现场环境中评估DataWiz的可用性，并根据用户的反馈进行改进。将测试各种研究背景，找出问题并实施解决方案。此外，DataWiz和其他研究支持系统之间用于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SILE或REST)进行开发。这些协议将用于将内容从DataWiz存放到数字储存库，或用于将数据收集或数据分析软件(如SurveyMonkey，R)连接到DataWiz。此外，将开发数字研究对象捆绑包(DROS)，以进一步加强DataWiz对公平数据原则的遵守(使数据可找到、可访问、可互操作和可重复使用)。可用性和连通性方面的改进将优化DataWiz在整个心理学研究领域的适用性，并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.