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FAIR4Chem Award Winners

And the winner is… 

FAIR datasets are indeed feasible in chemistry, because where there’s a will, there’s a way. Of all datasets submitted for the FAIR4Chem Award 2022, two proved this is absolutely the case!

The FAIR4Chem Award 2022 honours the datasets of

Niels Krausch and Robert T. Giessmann: Collection of UV/Vis spectra acquired while monitoring reaction progress of thymidine phosphorolysis with varying reactant concentrations (DOI: 10.5281/zenodo.3243352)

and

Christopher Kessler et al.: Supplementary material for ‘Adsorption of Light Gases in Covalent Organic Frameworks: Comparison of Classical Density Functional Theory and Grand Canonical Monte Carlo Simulations’ (DOI: 10.18419/darus-1775)

Congratulations to the winners!


We look forward to presenting the award to the winners at the JCF Frühjahrssymposium 2022 in Hannover.

Workshop Series – FAIR RDM: Basics for Chemists

To achieve NFDI4Chem’s goal of ensuring that good research data management (RDM) will become second nature to chemists, it is essential that we provide appropriate training opportunities to the community to support them in making their research data FAIR (findable, accessible, interoperable & reusable). To this end we are excited to inform you about a new NFDI4Chem Workshop series starting in 2022: FAIR Research Data Management: Basics for Chemists.

In this two-day course we will take you through the basics of RDM while applying these to a chemistry context. These basic concepts, principles, and more will not only be taught theoretically, but with additional interactive elements involving individual and group work.

The workshop´s objectives are that you

  • can apply the concepts of metadata and data organisation in chemistry.
  • can apply data documentation with a Data Management Plan and get to know some electronic lab notebooks.
  • make the FAIR principles applicable to your chemical research.
  • understand the importance of standards and persistent identifiers.
  • know the terms storage, backup, archiving, and publication and are able to independently search for new chemical repositories.
  • know the services and the supporting infrastructure of your university.

On the one hand, we will hold regular open workshops (in English) that will take place online so that participants from all over Germany can take part on the following dates:

#Day 1Day 2
116.2.202218.2.2022
220.4.202222.4.2022
322.6.202224.6.2022
417.8.202219.8.2022
519.10.202221.10.2022
607.12.202209.12.2022

Sign up for the open workshop here.

On the other hand, we will also carry out workshops at individual institutions upon request, in which we will work together with local research data management officers to address local specifics, requirements, offers, and services, in particular. These workshops can be held online or in person, as required, and in German or English.

The workshops are designed for 20 people and a period of 2 days, 4-6 hours each day.

If your institution is interested in NFDI4Chem holding a bespoke workshop for your institution or if you have any other questions regarding the workshop, contact us via helpdesk@nfdi4chem.de.

Launch of NFDI4Chem Knowledge Base

Are you confronted with research data management in chemistry and are feeling lost?

NFDI4Chem is proud to announce the launch of its knowledge base.

We were so impressed by Elixir-Converge’s RDMKit that we adopted its architecture as a starting point. You can enter the knowledge base via different points of entry. Choose your role (e.g. group leader, student) to find out what topics are particularly relevant to you. Entry via your specific sub-discipline of chemistry such as synthetic organic or inorganic chemistry will give you key information on the analytical methods used for your sub-discipline and how to deal with the data they produce in a FAIR (Findable Accessible Interoperable Reusable) way.

Each point of entry will help you navigate the knowledge base’s articles on research data management topics which have been specifically adapted to a chemistry context. A selection of articles found in the knowledge base are: metadata, ontologies, machine readable chemical structure, data management plans, and many more.

We have dedicated a whole section of articles to handling data—how you can best organise, document, store, and publish data. Furthermore, you can access templates we have developed via the knowledge base (such as data availability statements).

The articles are all curated in a GitHub repository and everyone is welcome to contribute to the knowledge base. All articles so far have been authored by an appropriate expert and subsequently reviewed by our editorial team.

Should you wish to author a new article or contribute to an existing one, please get in touch with us via helpdesk@nfdi4chem.de.