new blog: "Using compact identifiers in project reports" https://doi.org/10.59350/re9j2-hk972
"This document describes how you can improve the FAIR-ness of your project report by using compact identifiers. Of course, it can be applied to any other document too, and has been used in, for example, journal articles and online documentation already." https://chem-bla-ics.linkedchemistry.info/2026/03/29/using-compact-identifiers-in-project-reports.html
the meeting was already a six months ago, but a blog post about it is better late than never: "The TDCC NES Col-Lab Retreat" https://chem-bla-ics.linkedchemistry.info/2026/02/21/the-tdcc-nes-col-lab-retreat.html https://doi.org/10.59350/pm3c5-89k94
"The TDCC-NES organized a networking event in August last year, the 2025 TDCC-NES Col-Lab Retreat. [..] The meeting was in the wonderful Dutch town Schoorl, and the location is great for collaborative meetings."
Replies show up in the blog post.
Last autumn two TDCC projects started, FAIR4ChemNL (with the PeerTube channel and doi:10.61686/XVYQV45374) and FAIRify for metabolomics data (doi:10.61686/CSGIP04334). But I haven’t written much on either yet and what the role is our research group in these projects.
The second @NFDI4Cat day has started. The open Summit. I will talk about our research and our new project #FAIR4ChemNL , part of the Dutch Thematic Digital Competency Centre (TDCC) programme.
But first two other speakers
"Following the announcement of the recipients of the inaugural round of Open Reaction Database HTE Center Grants, we are now inviting proposals to generate new reaction datasets in the second round of grants. In this round, we expect to allocate three grants of up to $110,000 USD each, lasting up to 12 months." https://www.linkedin.com/pulse/ord-hte-center-grants-2025-call-proposals-open-reaction-database-vbpre/
Introduction The Open Reaction Database (ORD) is an initiative to support machine learning and related efforts in reaction prediction, chemical synthesis planning, and experiment design, including through the establishment of an open-access schema and infrastructure for sharing structured organic re
📣 New whitepaper out now!
"Enhancing Research Data Management in Chemistry: A Collaborative Approach for Catalysing Innovation in Germany and the Netherlands"
A collaborative effort between Germany and the Netherlands, based on the FAIR4ChemNL workshop in Utrecht.
We explore challenges in RDM for chemistry and outline joint steps for harmonising metadata, infrastructures, vocabularies & training.
📥 Available on Zenodo: https://zenodo.org/records/15050550
This report presents a snapshot of research data management (RDM) initiatives within the chemistry domain in Germany and the Netherlands and areas where potential improvements could be made, as presented and discussed during the FAIR4ChemNL workshop, held on 4-5 June 2024 in Utrecht, the Netherlands. Not only will the results of this discussion be interesting to those wanting to enhance data-driven science, but readers are encouraged to replicate the format of this collaboration process so as to guide or contribute to the developments that are needed to transform RDM across chemistry research and other scientific fields. The paper identifies current challenges and makes specific suggestions for technical and cultural solutions that could be implemented to catalyse the implementation of RDM practices across the chemistry discipline, as well as their adoption by the community. Some of these will be pursued as projects in Germany and the Netherlands from 2025 onwards, initially focusing on: the alignment of RDM practices and infrastructures; the collection, development and alignment of ontologies; the co-development of trainings to foster cultural change; the continuation of knowledge exchange between the two countries through regular interactions, and the organisation of joint events for the community. The FAIR4ChemNL workshop was hosted by the Dutch Thematic Digital Competence Centre for the Natural and Engineering Sciences (TDCC-NES) and co-organised with the NFDI for Catalysis-Related Sciences (NFDI4Cat). Participants came from across chemistry and the supporting research environments.
Date: June 4-5, 2024 Location: Utrecht (UU Science Park, Buys Ballot Building) Participation is invitation based. For participation inquiries and more information write to [email protected]. Data-centered approaches in chemistry hold the promise of uncovering groundbreaking solutions critical for advancing energy and material transitions, pharmaceutical innovations, and circular economy endeavors. In the realm of chemical research, […]
Date: June 4-5, 2024 Location: Utrecht (UU Science Park, Buys Ballot Building) Participation is invitation based. For participation inquiries and more information write to [email protected]. Data-centered approaches in chemistry hold the promise of uncovering groundbreaking solutions critical for advancing energy and material transitions, pharmaceutical innovations, and circular economy endeavors. In the realm of chemical research, […]
Egon Willighagen
NFDI4Cat
BiGCaT Bioinformatics