"BH25DE report: On the path to machine-actionabletraining materials" https://doi.org/10.37044/osf.io/un6cd_v1
"We demonstrated contentfederationvia themTeSS-Xplatform, enabling cross-instanceexchange and preparing for future integration with the EOSC federation. To enhance interop-erability, we indexed relevant ontologies and curated semanticcrosswalksbetween establishedmetadata models, specificallyMoDALIAandSchema.org/Bioschemas."
@jpvanacken @djoerd @openwebsearcheu :)
Bioschemas is an extension of schema.org, a JSON-LD-based annotation for websites to support indexing by search engines. It is widely used for creative content, and Bioschemas allows annotation of webpages about which biological and chemical things these pages provide content.
the ASINA project published a new paper, about making their project output more FAIR. e.g. https://doi.org/10.5281/zenodo.17052010 and context in https://doi.org/10.1016/j.impact.2025.100583
They have been using European Registry of Materials (ERM) identifier, and I have started updating two resources we started during #NanoCommons and #NanoSolveIT: https://nanocommons.github.io/datasets/ and https://nanocommons.github.io/erm-database/ (and still using #bioschemas)
ERM is added to the original dataset. Human safety - exposure dataset captures occupational exposure data from Near-Field (NF), Far-Field (FF), and inside spray coating machinery monitoring campaigns, providing insights into aerosol generation during NEP coating process. Measurements were obtained using Scanning Mobility Particle Sizer (SMPS) and Optical Particle Counter (OPC) to assess processing conditions and aerosol behaviour in industrial settings. Key aerosol-related parameters include particle number concentration in NF as an indicator of worker exposure, with SDs. Background conditions were assessed across various operational states, including when the spray process was inactive, ventilation running, and oven in operation. Particle size information of the process emissions in NF provides insight into the dynamic behaviour of aerosol particles indoors and in the human lungs. NM mass concentrations were measured in NF, inside the spray coating, and FF using Teflon filters, with Ti concentrations analysed by ICP-MS. Values were normalized by air volume (m³) to calculate NM mass concentrations (µg/m³), with SDs reflecting variability. The metadata folder contains extensive raw data, structured across three monitoring campaigns, with both on-line and off-line measurements in time-series formats. It includes NANEOS and OPC data, along with detailed records of additional parameters, offering a comprehensive source for exposure analysis. A detailed descriptor breakdown in Table S9. It is important to note that some metadata files contain additional data from monitoring campaigns; however, the necessary information to include the key descriptors that define each experiment was not available. As a result, these data could not be integrated into the Descriptors tab, where all results were systematically merged. This limitation affects the ability to directly link certain metadata records to the structured dataset but does not compromise the availability of raw exposure data.
What best way to advance a topic than working with friends during a hackathon?
Last week we had two intensive days at @ZBMED improving #Bioschemas website and tutorials, part of @elixir_europe and aligned to metadata efforts at @resdatall @NFDI4DS @NFDI
Still a lot of work to do! Keep tuned to https://bioschemas.org and https://schemas.science to see latest changes.
Maybe next time you can also join us! The more the merrier 🙂
Last week we had tons of amazing discussions on #metadata for #TrainingMaterials #OER during our @NFDI #DiscoRSE #Quadriga #hackathon at @ZBMED
Thanks to all participants!
We worked on crosswalks and mappings including #SchemaOrg #LearningResource @dini @dalia #Bioschemas #AMB #Skills4EOSC
Results will be published in @zenodo_org Keep an eye to our updates on social media if you are interested in the topic.
Join us for a collaborative @NFDI4DS hackathon with experts from various institutions on June 25-27, 2025 at @ZBMED in Cologne.
Focus areas
* improving the Bioschemas and Schemas.science websites,
* enhancing tutorials,
* reviewing and proposing profiles,
* adding Bioschemas/schemas.org markup to your resources.
Submit applications by June 15, 2025. Limited capacity; participants cover their own expenses.
More info:
https://zbmed-semtec.github.io/nfdi4ds-hackathons/docs/2025.html#bioschemas-hackathon
🔧Join us for the #Bioschemas #Hackathon!
📅 25–27 June 2025
📍Cologne or online
💡 Let’s improve Bioschemas & schemas.science:
– Websites & tutorials
– Metadata profiles (e.g. FAIR4ML, Croissant ML, bio.tools)
– Add markup to your own resources!
Organized by @ljcastro with Nick Juty, Phil Reed, Helena Schnitzer (@fzj), Ginger Tsueng, and Alban Gaignard
🔗 Info: ogy.de/e0tl
new blog: "Beilstein journals contain Bioschemas" https://chem-bla-ics.linkedchemistry.info/2025/02/13/beiltein-journal-has-bioschemas.html
"But this announcement is a new step. I like how validation of the chemical structures is part of the approach, and I like how they use the Bioschemas extention of schema.org. The last because they use two Bioschemas types/profiles that contributed to or initiated, respectively: MolecularEntity and ChemicalSubstance."
replies to this post become blog comments.
#chemistry #openscience #schemaorg #bioschemas #ELIXIREurope
Have you used #Bioschemas to markup your data, tools, training materials or other content? Was it cumbersome, tedious or a joyous experience? Please share your experiences and help us to run the @elixir_europe BioHackathon Europe Project 10 ‘Bioschemas for Mortals’ by completing this survey before 1 November.
I couldn't image but in one week the #TS4NFDI hands on workshop in Hannover will be already over.
I'm looking forward to discuss #ontology #mapping approaches including #SSSOM with @cthoyt , @nichtich and Nick Juty from https://fair-impact.eu/ and @bioschemas in Hannover.
There are still a handful free places. If you want to join us at the @tibhannover feel free to register via: https://www.nfdi4chem.de/event/ts4nfdi-community-hands-on-workshop/
FAIR-IMPACT identifies practices, policies, tools and technical specifications to guide researchers, repository managers, research performing organisations, policy makers and citizen scientists towards a FAIR data management cycle. The focus is on persistent identifiers (PIDs), metadata, ontologies, metrics, certification and interoperability, starting with real-life use cases on social sciences and humanities, the photon and neutron sciences, life sciences and agri-food and environmental sciences.
BioHackrXiv
Egon Willighagen
ljc
NFDI4DS
ZB MED
Egon Willigh☮gen 🟥
Roman Baum