Data access is one of those things that interests me: how can be improve data to be found. The current state is that it is effectively absent. Sure, some large databases are available, and I will get to that shortly, because there are problems there too. But there are also vast amounts of small data that we cannot access. FigShare and PLOS are doing something about this, but there is so much more inaccessible at this moment. And then we haven't even touched on negative data, which is critical to data analysis (as well as efficiency).

So, back to the large databases. WikiPathways is one. Not even close to being large enough (you can help, possibly during a curation jamboree, and the next one is just around the corner), but that's another story.

The below slides are part of the introduction for the hands on for the #MIILS2013 course this afternoon. I had the participants look at creating RDF the hard way: using Bioclipse script (using this Bioclipse-OpenTox version). And, they had to follow the Open PHACTS RDF Guidelines, VoID specification, etc.

One key aspect of peer review is to ensure that the paper is scientifically sound. The publishing system therefore asks peers to review the paper and test that. Part of this is to see if relevant literature is cited, backing up key finding around the addressed hypothesis in the paper. After all, the research must be novel.
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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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