A bit later than intended, but I am pleased to announce the winner of the Winter solstice challenge: Bianca Kramer! Of course, she was the only contender, but her solution is awesome! In fact, I am surprised no one took her took, ran it on their own data and just submit that (which was perfectly well within the scope of the challenge).

Best Tool: Bianca Kramer

The best tool (see the code snippet on the right) uses R and a few R packages (rorcid, rjson, httpcache) and services like ORCID and CrossRef (and the I4OC project), and the (also awesome) oadoi.org project. The code is available on GitHub.

Highest Open Knowledge Score: Bianca Kramer

I did not check the self-reported score of 54%, but since no one challenged here, Bianca wins this category too.

A few days ago Aidan and José introduced GraFa on the Wikidata mailing list. It is a faceted browser for content in Wikidata, and the screenshot on the right shows that for chemical compounds. They are welcoming feedback.

Besides this screenshot, I have not played with it a lot. It looks quite promising, and my initial feedback would be a feature to sort the results, and ability to export the full list to some other tool, e.g. download all those items as RDF.

No worries, this is just about my Groovy Cheminformatics book. Seven years ago I started a project that was very educational to me: self-publishing a book. With the help from Lulu.com I managed to get a book out that sold over 100 copies and that was regularly updated. But their lies the problem: supply creates demand. So, I had a system that supplied me with an automated set up that reran scripts, recreated text output and even figures for the book (2D chemical diagrams).
Text
Text
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!
About Me
About Me
Popular Posts
Popular Posts
Pageviews past week
Pageviews past week
1831
Blog Archive
Blog Archive
Labels
Labels
Loading
Dynamic Views theme. Powered by Blogger. Report Abuse.