We are delighted to invite everyone interested in the current status and future outlook of research data management in engineering science to the 2nd annual NFDI4Ing conference taking place on October 26 & 27, 2022.
SciMesh is Caden’s RDF graph topology to map scientific results onto a knowledge graph. In Caden, we use SciMesh as a standard to map content of an ELN to a data format that can be read by other ELNs. An unsolved problem has been how to deal with processes that involve more than one specimen, or with subprocesses. We addressed this problem by adding so-called “concurrents” to SciMesh.
Data management plans are an important component of data management. One of the goals of the NFDI4Ing Base Service Quality Assurance in RDM processes and metrics for FAIR data (S-1) is to provide an engineering-specific customized Data Management Plan (DMP) template to support engineers.
The NFDI4Ing Base Service Research Software Development (S-2) provides infrastructure, best practices and templates to make research software and its development more replicable and reproducible while improving the quality of the written code.
Together with the NFDI Task Force Tools for AAI and the FAIR Data Spaces project, we conducted a survey to assess the current state of AAI technologies in the NFDI. The results are now available and will be used to shape the future architecture of AAI for the „one NFDI”.
How can large data from high-performance measurement and computation (HPMC) become accessible for the research community? How can this data be processed or transferred? What are the possibilities for storage, repositories and metadata enrichment? DORIS has made a considerable progress in implementing the FAIR principles of HPMC data and passing the evolved knowledge to the community.
ing.grid is a peer-reviewed open access journal currently in development, that provides a forum for engineers of all disciplines concerned with data management to share and exchange their knowledge.
The German communities of Transport Research, Computer Science, Systems and Electrical Engineering met on March 3rd to discuss issues related to the collection, handling and subsequent use of research data in connection with the main topic of “Automated and Connected Mobility”.
NFDI4Ing will soon launch a survey on the topic of research data management (RDM) in the engineering sciences. One of the goals of the survey is to tailor the consortium’s services precisely to the needs of engineers. In order to obtain a detailed picture of the state of RDM in the heterogeneous engineering disciplines, we hope for numerous participants from all disciplines.
In a first meeting, leading scientists in the field of thermal engineering and process engineering met online to establish a NFDI4Ing community board.