Almost three years ago I collaborated with others in the W3C Health Care and Life Sciences interest group. One of the results of that was a paper in the special issue around the semantic web conference at one of the bianual, national ACS meeting (look at this nice RDFa-rich meeting page!). My contribution was around the ChEMBL-RDF, which I recently finally published, though it was already described earlier in an HCLS note.

Anyway, when this paper reached the most viewed paper position in the JChemInf journal, and I tweeted that event, I was asked for an update of the linked data graph (the darker nodes are the twelve the LODD task force worked on).

This week the ChEBI 3rd User Workshop took place, and I presented how WikiPathways is using ChEBI, and how I have been using it in the BridgeDb identifier mapping database for metabolites, and in mapping metabolites to WikiPathways using the ChEBI ontology.

What some of us already interpreted is that the Non-Commercial (NC) clause of the Creative Commons (CC) is a killer. German court has ruled that the NC clause means that the material is only for personal use. And that is literally breaking news! It means that such material is not Open Access in the context of (European) universities. I learned from Lessig's Free Culture (a must read) that academic use falls under fair use under USA law. but as far as I know this is not the case in Europe.

I have ranted often enough about publishing. I have also often enough indicated how publishers (or journals) could improve their act. Enough to find in the archives of this blog. Even the more innovative publishers have a long way to go. The reason why I blog about this, is why I can be happy with something like a rrdf package (doi:10.7287/peerj.preprints.185v3). Seriously, it is far away from where my heart is: understanding the underlying chemistry of biology.

Three weeks ago the CDK project migrated from Ant to Maven as the primary build tool. That means that my workflow for making and, importantly, reviewing patches is completely turned upside down. Well, that happens.
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This blog deals with chemblaics in the broader sense. Chemblaics (pronounced chem-bla-ics) is the science that uses computers to solve problems in chemistry, biochemistry and related fields. The big difference between chemblaics and areas such as chem(o)?informatics, chemometrics, computational chemistry, etc, is that chemblaics only uses open source software, open data, and open standards, making experimental results reproducible and validatable. And this is a big difference!
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