Discuss with us about ELNs, tools and methods for FAIR data!
Several services and resources are currently being developed to help researchers manage their chemical data. Our goal is to seamlessly digitise the entire workflow of all sub-disciplines of chemical research. At the monthly NFDI4Chem Stammtisch (regulars’ table) you can learn more about these services and resources and discuss with the developers of NFDI4Chem as well as other researchers, get tips or give important feedback from your practice. For example, an electronic laboratory notebook (ELN) should be able to seamlessly capture, store, search, and publish generated research data, incorporating the FAIR (Findable, Accessible, Interoperable, Reusable) data principles. Do you agree? Let’s talk about it!
Starting with a short presentation given by an expert, followed by an in-depth discussion with the audience, the Stammtisch offers space for suggestions and enhancements around a wide range of resources. Hotly debated topics are the Chemotion ELN and other ELNs, repositories, machine learning as well as improvements concerning the search algorithms (e.g., InChI). Don’t miss this unique opportunity to place your thoughts and get involved in the development process!
The Stammtisch will be held on the last Friday of each month at 2:00 PM!
29.09.2023: Research data management with LinkAhead
Ever wanted to know what comes if you take ELNs one step further? At this NFDI4Chem Stammtisch, we will introduce the research data management software LinkAhead. This agile software toolbox enables professional data management in research where other approaches are too rigid and inflexible. Integrating your data sources and ELNs can be fully automated, and LinkAhead’s version control and workflow management give you all the tools you need for quality assurance. And LinkAhead is open source software all the way!
– integrates multiple data sources, such as ELNs, lab devices, file systems, data repositories, …
– makes deep semantic searching simple
– allows you to change your data model on the fly, while all your existing data stays untouched
– in short, finally makes your data findable and reusable