by Giovanni M. Dall'Olio, Jacopo Marino, Michael Schubert, Kevin L. Keys, Melanie I. Stefan, Colin S. Gillespie, Pierre Poulain, Khader Shameer, Robert Sugar, Brandon M. Invergo, Lars J. Jensen, Jaume Bertranpetit, Hafid Laayouni
That the code is a little raw is one of the main reasons scientists give
for not sharing it with others. Yet, software in all trades is written to be good enough for the job intended. So if your code is good enough to do the job, then it is good enough to release — and releasing it will help your research and your field.
Here's an interesting post that's appeared on the BBC's Internet Blog exploring the use of semantic web technologies in powering their (rather substantial) World Cup site. It's a fairly technical document casually dropping the semantic web monkey's favourite buzzwords and acronyms (RDF triples, metadata, ontologies, XML, SPARQL), but it serves as an excellent and easily followed demonstration of the power semantic web technologies can provide on a large scale, highly-exposed platform.
Editorial in Nature Genetics, suggesting the use DOIs for datasets.
..data still remain someone's life work to be bartered in an economy of knowledge production. The value of research publications is currently acknowledged by citation. If this practice of citation is extended to datasets, these datasets and their producers will be properly recognized.
G2P Knowledge Centre is part of GEN2PHEN and funded by the Health Thematic Area of the Cooperation Programme of the European Commission
within the VII Framework Programme for Research and Technological Development.