User-Adaptive Interactions with material sciencesresearchdata (AimData)

建立了数据获取、填充和传播的数字基础设施，以提高实验研究数据(infoSys、Radischen等)的持久性、可回收性和可持续性。在获得广泛接受和利用之前，这种数字基础设施目前面临的一个挑战是它的可用性和可转移性。上述挑战是以信息系统项目的经验和结果为基础的这项研究提案的中心问题。材料科学和许多其他科学领域一样，从各种实验中产生了大量的研究数据。到目前为止，生产的研究数据一直存储在一个独立的解决方案中，几乎没有标准化。在前面的lnfoSys项目中，已经建立了一个中央基础设施，有了这个基础设施，90%的研究数据，包括金属材料(钢)的元数据，可以以结构化的方式存储。与此同时，开发的系统每天都在使用，旨在针对用户和环境特定的输入(例如通过平板电脑解决方案)，以提高可用性和效率，同时提高现场接受度。现有系统将在后续项目AimData期间得到优化，作为研究数据的示范数字基础设施，用于研究、数据挖掘和实验数据的传播。这里的重点从简单、定制和用户友好的数据输入，转变为数据的可获得性和随后由第三方利用。待开发的附加组件不仅应该用于试点项目，还应该允许和支持一般的应用程序。因此，应该通过增加功能来扩展infoSys系统。重点将特别放在高度发达的搜索功能和基于数据挖掘和语义链接的分析工具上。这将使将来能够适当地利用现在集中和结构化地存储的数据。同时，还将制定和实施研究数据质量保证领域的其他措施。此外，还将开发创新方法，允许用户对研究数据的质量进行评级。还将增加纤维增强塑料(FRP)的材料科学数据，以确保足够的复杂性和可转移性，研究数据的所有特定特性包括。元数据和测试程序。对现有高效、中央组织的研究数据基础设施进行结构性扩展，为用户和资金赞助商创造长期价值，对本项目提案至关重要。范围应该同时扩展到更多的域，并检查可转移性。

Digital infrastructures for data acquisition, -filling and -dissemination have been created to improve the persistence, recyclability and sustainability of experimental research data (lnfoSys, Radischen, etc.). A present challenge for this digital infrastructure, before a wide acceptance and utilization can be achieved, is its usability and transferability. The abovementioned challenge is a central issue of this research proposal, building upon the experiences and the results of the lnfoSys project. Materials science, as weil as many other scientific fields, produces large quantities of research data from various experiments. So far the produced research data had been stored an stand-alone solutions with little to none standardization. In the context of the preceding lnfoSys project, a centralized infrastructure has been created, with which 90% of the produced research data including meta-data for metallic materials (steel), could be stored in a structured manner. Meanwhile, the developed system is being used an a daily basis and aims for user- and environment specific input (e.g. via a tablet solution) to improve the usability, efficiency, and simultaneously increase the on-site acceptance. The existing system will be optimized during the follow-up project AimData, as an exemplary digital infrastructure for research data, for research purposes, data mining, and dissemination of the experimental data. The emphasis here changes from the easy, custom and user-friendly input of the data, to their availability and later utilization by third parties. The to-be-developed add-ons should not only be used for the pilot-project, but also allow and support applications in general. The lnfoSys-System should be therefore extended by additional functions. Emphasis will be placed in particular an a highly developed search function and analyses tools, based on data mining and semantic linking. This will enable a future capability of proper data utilization of the now centrally and in a structured manner stored data. At the same time additional measures in the area of quality assurance of research data will be developed and implemented. In addition innovative methods will be developed, allowing users to rate the quality of the research data. Materials science data of fibre-reinforced plastics (FRP) will also be added to ensure sufficient complexity and transferability, with all specific peculiarities of research data incl. meta data and test procedures.The structural expansion of the existing efficient, centrally organized research data infrastructure, to create a long-term value for users and funding sponsors, is essential to this project proposal. The scope should be at the same time extended by additional domains and checked for transferability.