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Scientific data are a significant raw material of the 21st century. To exploit their value, a FAIR – Findable, Accessible, Interoperable, and Re-purposable – data infrastructure (DI) is a must. Making data Findable and AI Ready (an alternative interpretation of the acronym) will change the way in which science is done today. For the wider field of condensed-matter physics and the chemical physics of solids, FAIRmat sets out to make this happen. Integrating synthesis, experiment, theory, computations, and applications, it will substantially further the basic physical sciences, reaching out to chemistry, engineering, industry, and society. Why are FAIRmat’s research data so important? Simply speaking, the prosperity and lifestyle of our society are very much governed by achievements of this field as new products from the energy, environment, health, mobility, IT sectors, etc. rely on improved or novel materials. Examples are solid-state lighting, touch screens, batteries, implants, and many more. Without an efficient DI, the data are neither easily accessible nor re-usable. FAIRmat represents a broad community of numerous researchers from universities and leading institutions in Germany. It builds on extensive experience with the worldwide biggest data infrastructure in computational materials science, the Novel Materials Discovery (NOMAD) Laboratory and the association FAIR-DI e.V. FAIRmat aims at covering the full breadth of the Condensed Matter Section of the German Physical Society with its 12 divisions, and is further supported by the Chemistry, Physics, and Technology Section of the Max Planck Society, the Bunsen Society for Physical Chemistry, and more. It is fully embedded internationally, e.g., in the RDA, the EOSC, GO FAIR, etc. and has signed Memoranda of Understanding with leading institutions worldwide, for example NIST (USA), Shanghai University (China), and CSC (Finland). FAIRmat will continue to raise awareness and acceptance of a FAIR research-data infrastructure in Germany, Europe, and beyond.
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Unlocking the Potential of Data - FAIR Data Principles in NFDI
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Unlocking the Potential of Data - FAIR Data Principles in NFDIThe presentation is part of a series of presentations in the webinar "Unlocking the potential of data - FAIR data principles in NFDI" which took place on 29 September 2023. It is an introduction to Research Data Management (RDM), FAIR data principles, and its advantages. CAMELS is an abbreviation for "Control Application for Measurements, Experiments, and Laboratory Systems". It is an open software framework for measurement protocol configuration and makes research life easier from planning the experiments to data collection. This presentation took place on 29 September 2023 as a part of the "Unlocking the potential of data - FAIR data principles in NFDI" webinar organized by physical Sciences in NFDI. The content comprises of tool introduction and a discussion of its advantages in Research Data Management (RDM). The presentation is part of a series of presentations in the webinar "Unlocking the potential of data - FAIR data principles in NFDI" which took place on 29 September 2023. The presentation introduces the Chemotion Electronic Lab Notebook (ELN) tool as one of the tools in Research Data Management (RDM), and discusses its key elements in an experimental setup with some related examples.
File Format
PDF
Languages
English
Media Type
Presentation
Publication Date
2023-09-29
License
CCBY
Size
6.9 MB
Authors
Keywords
No keywords
Data
Literacy
Alliance
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