This week a colleague whom I highly respect asked me if I was already so busy (regularly close to overworked), why did I give talks and often free up my time for that. A valid question. The Drew-reaction here is to say "it is part of scientific communication and dissemination". But does that hold when writing deliverables (also communication and dissemination) should take priority?

So, here's my Gun-reaction. I think there are two aspects I take into account on top of the "this is what scholars do" and "I learned it like this": the need for debate, the need for human collaboration. Arguably, these are the same thing, but intuitively I think the first is actually more about deepening our understanding, while the second is more about gratification.

This week the 2nd NWO Open Science BridgeDb grant hackathon took place. In all honestly, I had hoped we could open it up to a much larger community, but in our defense, the grant team is small, and we were flooded with various viruses in The Netherlands. Second, we need to get a lot if community feedback on additionally needed identifier mapping needs, except for support for Simple Standard for Sharing Ontological Mappings (SSSOM).

It is now almost thirteen years ago that Prof. Shotton wrote their article about CiTO, the Citation Typing Ontology (doi:10.1186/2041-1480-1-S1-S6). For long it was the only article with CiTO annotations in the article itself, explaining why the authors cited those articles, here reference 8 from Shotton's article:

I wanted this. I was collecting reasons why people were citing the Chemistry Development Kit articles. I started using it, CiteULike added support.
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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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