- "Open Knowledge: Reproducibility in Cheminformatics with Open Data,
Open Source and Open Standards"
The Open paradigms in science have been met with strong criticism.
Nevertheless, support and use of Open models among scientists is
growing. While the Open model is certainly only one approach to doing
science, it has a few aspects that make propagation of knowledge more
transparent. Indeed, Open Data, Open Source and Open Standards
(ODOSOS) make it easier to reproduce of knowledge and promote peer
review. Various ODOSOS projects will be introduced which improve
reproducibility in cheminformatics, the underlying science of
exchanging chemical knowledge. Recent contributions of the Chemistry
Development Kit, Bioclipse, chemical ontologies and others will be
discussed that add to the repertoire of Open Cheminformatics, and how
these contribute to Open Knowledge.