“The scientific publishing world is witnessing rapid change, especially in the speed-of-light world of genetics and genomics. You are invited to join Professor Andre van Wijnen, Editor-in-Chief of GENE and Bart Wacek, Publisher (Elsevier), together with the wider genetics community to discuss how authors, reviewers, and editors can not only benefit from, but contribute to, the editorial process.”
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I’m looking forward to discuss the integration / linking of (hu-uh-UUge) datasets with publications in a reusable way. Let’s face it, often data reveals its worth only quite some time after publication. Armed with new hypothesis or methods, other researchers come up with questions and uses for existing data that the scientists who did the original experiments and measurements just could not have anticipated ahead of time. Embracing Open Data offers a technical solution to data integration. The crux of a healthy publication system is in giving credit – I’m not sure if in the long run citations alone are the right incentive to keep the “data-producers” happy. Usually, after a few high profile publications the cherries are picked and the rest of the community is left to feed of the crumbs. Which makes them usually turn to other topics, and leaves the field in a shambolic state. For example, I am convinced with existing screening technologies we could have covered systematically at least a “backbone” of all protein-protein interactions in human during the last 5 years. Are we there yet? Aeeh, nope. I guess the story will be similar to sequencing, where the yeast genome was completed several years before the draft of of the human came out. Now that the yeast interactome seems to be nearing completion, will a “draft of the human interactome” take another 5 years? I am not sure if that’s too optimistic, but hey, I am confident we get there before I retire. That’s about a quarter of a century to go, no worries.