A quick bit of history first: 1. I've been contributing and using Wikidata for some time now, e.g. to support the BridgeDb and WikiPathways projects, and using projects like the Chemistry Development Kit and Bioclipse; 2. more or less since March 6th working from home (some periods quarantined); 3. freaking out, like many others; and 4. tried to figure out how to contribute to our response to SARS-CoV-2, leading to a draft WP4846 which you can read about in this paper. I blogged recently more details of this history.

One of the things we needed when talking about SARS-CoV-2 was identifiers. This is a key aspect of interoperability and reuse. Then, these identifiers could be used to annotate literature.

Some things that affect our lives are too complex to be called a disease and called a syndrome. Or as this paper explains: "A disease may initially be called a syndrome to describe a collection of symptoms." Understanding the problem in enough detail that the collection of symptoms can be understood is often not trivial.
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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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