Jean-Claude Bradley pitched the idea of Open Notebook Science, or Open-notebook science as the proper spelling seems to be. I have used notebooks a lot, but ever since I went digital, the use went down. During my PhD studies I still extensively used them. But in the process, I changed my approach. Influenced by open source practices.

After all, open source has had a long history of version control, where commit messages explain the reason why some change was made. And people that ever looked at my commits, know that my commits tend to be small. And know that my messages describe the purpose of some commit.

That is my open notebook. It is essential to record why a certain change was made and what exactly that change was. Trivial with version control.

Over the past seven years there has been a lot of chemistry interoperability work I have done using Bioclipse (doi:10.1186/1471-2105-8-59, doi:10.1186/1471-2105-10-397). The code is based on Eclipse, which gives a great GUI experience, but also turned out hard to maintain. Possibly, that was because of a second neat feature, that you could plugin libraries into the Python, JavaScript, and Groovy scripting environment which allows people to automate things in Bioclipse.
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Open Science has been around for some time. Before Copyright became a thing, knowledge dissemination was mostly limited by how easy you could get knowledge from one place to another. The introduction of Copyright changed this. No longer the question was how to get people to know the new knowledge to how to get people to pay for new knowledge. One misconception, for example, is that publishing is a free market.

Since the EU BioHackathon in Paris last year, I've picked up Bioschemas stuff more extensively, to help the ELIXIR Metabolomics and Toxicology (in development) communities getting their stuff more FAIR. We could annotate training material already (see this ELIXIR NL post), but big boon was annotation of vignettes on Bioconductor.
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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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