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The 2nd workshop of NFDI-afficionados at the MPG
This contribution will present a brief outline of the structure and services of NFDI4Chem.
In this presentation I will summarize the activites in NFDI4BIOIMAGE in the first year (2023/2024). I will also take the opportunity to present
the contributions and activities at the MPI for Evolutionary Biology in particular with respect to Knowledge Graph engineering, data integration and metadata standardization.
The performance of any engineering material depends critically on its strongly heterogeneous and process-dependent microstructure, ranging from crystal defects at the atomic level, through microscale secondary phases up to macroscale pores. Furthermore, processes on timescales ranging from picoseconds up to centuries need to be addressed. This inherent multiscale character of materials needs to be represented in corresponding data models and combined with measurements and simulations that capture these processes.
Due to the vast number of different experimental, computational and analytical methods used to reveal these dependencies, the MatWerk community has developed a large variety of data tools and workflows. NFDI-MatWerk aims to provide a federated digital materials environment that gives scientists full control over their data while enabling and incentivizing data sharing and offering highly performant, complex search queries and analysis runs based on a materials knowledge graph connected to a database infrastructure. Integrated development environments ensure that data processing in workflows follow the same FAIR standards as the data. Additional concepts are developed in Infrastructure Use Cases together with participant projects. These concepts will be outlined within the presentation to foster synergies between the consortia.
On invitation only
Restaurant BullerJahn
Preserving research data over a certain period of time to ensure the security and traceability of results is an established practice in many cases.
In addition, researchers should at least ask themselves whether their data could be of long-term value. The reasons for this decision can be very different. While on the one hand very high financial and idealistic expenses make long-term preservation appear sensible, the next project involves data that describe unique phenomena that cannot be repeated. Research data can document how knowledge was created, how it was promoted and shared or how technology changed. At the same time, there may be data that excludes subsequent utilisation.
In the case of subsequent re-use, questions arise regarding access, legal framework conditions and the technical realisation of preservation over very long periods of time.
Some answers are firmly established in the day-to-day business of archives. In addition to some of the prerequisites for the long-term preservation of research data, this presentation will focus on these issues.