Research data management is a major necessity for the digital transformation in material science. Material science is multifaceted and experimental data, especially, is highly diverse. We demonstrate an adjustable approach to a group level data management based on a customizable document management software. Our solution is to continuously transform data management workflows from generalized to specialized data management. We start up fast with a relatively unregulated base setting and adapt continuously over the period of use to transform more and more data procedures into specialized data management workflows. By continuous adaptation and integration of analysis workflows and metadata schemes, the amount and the quality of the data improves. As an example of this process, in a period of 36 months, data on over 1800 samples, mainly materials libraries with hundreds of individual samples, were collected. The research data management system now contains over 1700 deposition processes and more than 4000 characterization documents. From initially mainly user-defined data input, an increased number of specialized data processing workflows was developed allowing the collection of more specialized, quality-assured data sets.

中文翻译：

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实验材料科学中的研究数据管理快速通道-为研究组级材料数字化奠定基础。

研究数据管理是材料科学数字化转型的主要必要条件。材料科学是多方面的，并且实验数据尤其是高度多样化的。我们展示了一种基于可自定义文档管理软件的可调整的组级数据管理方法。我们的解决方案是不断地将数据管理工作流程从通用数据管理转变为专用数据管理。我们以相对不受监管的基本设置快速启动，并在使用期间不断进行调整，以将越来越多的数据过程转换为专门的数据管理工作流程。通过分析工作流程和元数据方案的不断调整和集成，数据的数量和质量得到了提高。例如，在36个月的时间内，我们收集了1800多个样本的数据，主要收集了具有数百个单独样本的材料库。目前，研究数据管理系统包含1700多个沉积工艺和4000多个特征文件。从最初主要是用户定义的数据输入开始，开发了越来越多的专用数据处理工作流，从而可以收集更专用，质量保证的数据集。