Research Data Management
The scientific community increasingly sees the necessity and potential of systematic archiving and publication of digital research data. Networking and quality assurance of the research data provided are essential factors for efficient interdisciplinary re-use of research data and for reducing the inhibition threshold to secondary use of third-party research data. The implementation of these criteria represents a particular challenge in the field of plasma technology, since a large number of research methods are used in this interdisciplinary field of research, for which hardly any standards for the collection, documentation and storage of research data exist to date. At the same time, plasma technology is represented both in established fields of technology and in new areas of application with great social potential, for example in the field of new technologies for the energy revolution and in the fields of medicine and hygiene. Thus, the establishment of processes and standards for quality assurance and the re-use of research data is of extraordinary importance here.
The INP operates the interdisciplinary plasma technology data platform INPTDAT for the publication and re-use of research data. On the one hand, this takes into account the requirements of publishers and research funding agencies with regard to the publication of research data, and on the other hand, it achieves the greatest possible visibility and transparency of research at INP in the spirit of open science. The aim is to further expand INPTDAT and establish it as a central data platform and virtual research environment for plasma technology.
Together with experts in the field of knowledge modeling and blockchain technology, the project "Quality Assurance and Networking of Research Data in Plasma Technology - QPTDat" is exploring possibilities and developing practical solutions to enable and permanently support data-supported research in the field of plasma technology. In order to simplify the handling of research data with regard to findability, accessibility, interoperability and reusability and to integrate it into everyday work, standards for the storage and documentation of research data from the various research methods are being developed step by step. These standards form the basis for an interdisciplinary networking and semantic linking of data and metadata by means of a subject-specific ontology and a knowledge graph based on it, which allows a linkage with external data on a fine granular level. Finally, processes for automated quality control of research data and reputation monitoring based on a block chain protocol will be developed and tested on this basis.