An immediate consequence of the use of microarrays in neuroscience research has been the generation of massive amounts of data — more data than any laboratory could possibly analyse single-handedly. Although one proposed solution for this conundrum is to make the data available to the whole scientific community, it is not immediately obvious what model should be adopted if data sharing is to be successful. In addition, there are many issues — from practical to ethical — that need to be addressed before data sharing can be effectively implemented.

We have invited four experts in the application of microarrays to the nervous system to voice their views on these issues and point to a possible way forward. Their articles appear in our Perspectives section and clearly illustrate the diversity of opinions that revolve around the question of data sharing.

At this stage of the debate, it is difficult to reach a general consensus on microarray data sharing other than to accept that sharing is indeed the right option. It is important, however, to be aware of the alternatives that are available and to participate in the discussions that will shape future data-sharing efforts. Nature Reviews Neuroscience wants to be a part of this enterprise.

By featuring these four articles, we aim to stimulate the neuroscience community to express their thoughts on this matter in the hope that this will lead to new ideas on microarray data sharing. As we plan to continue this debate on our web site, we invite our readers to participate in this exchange; after all, if it's about sharing, let's start by sharing our views.