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Presentation as part of the project review by the KonsortSWD advisory board.

Current stage report from TA3 M5 project in Quatalstreffen TA3 2022.

Researchers in the social sciences use various software for statistical analysis of rectangular, structured data . The various data formats which are only partially compatible impede data exchange and reuse. In particular, proprietary data formats endanger those in the FAIR principles enshrined demand for interoperability. The project Open Data Format aims to develop a non-proprietary Open Data Format enriched with multi-level metadata that can be collectively used in popular statistical software. At the same time, The Open Data Format can be enriched with multilingual metadata as well as further links to data portals, which allows direct access to online documentation materials via the statistical software itself. The project is in the frame of KonsortSWD, consortium for the social, behavioural, educational and economic sciences and is funded by NFDI. In this conference we would like to introduce our work from current stage, including specification of metadata profile and development of technical import and export filters for the statistical program R and Stata.

From the perspective of teaching and researching, we developed a manipulator digital twin experiment platform (named the remote experience platform, REP) based on a rapid control prototype (RCP). The platform consisted of a controlled target, a real-time controller, rapid prototype configuration software, and supervisory control software. The controlled target was a 6-DOF manipulator, divided into a physical entity and its digital twin. The 3D model and mathematical model of the manipulator were constructed as an experimental entity in a digital space. The whole system provided flexible and intuitive experimental scenes without the restraints of time and place. Based on RCP technology, students can design various complex control strategies using simulation tools such as Matlab/Simulink, then convert the graphical model into executable code to be performed in target hardware. The framework and development methods of the proposed system are elaborated in this paper. An example is demonstrated, including invocation of algorithms, one-click code generation and compilation, real-time verification and online parameter adjustment, and more. The feasibility and practicability of the system are verified through the PID control experiment of the manipulator.