Four years ago, we launched ReScience, a new scientific journal aimed at publishing the replication of existing computational research. Since ReScience published its first article, things have been going steadily. We are still alive, independent and without a budget. In the meantime, we have published around 25 articles and the initial has grown from around 10 to roughly 100 members (editors and reviewers), we have advertised ReScience at several conferences worldwide, gave some interviews, and published an article introducing ReScience in PeerJ Computer Sience. Based on our experience at managing the journal during these four years, we thought that time was ripe for some changes. Read our editorial if you want to know more.
Sustainable computational science: the ReScience initiative
We just published our white paper on ReScience in PeerJ
Abstract: Computer science offers a large set of tools for prototyping, writing, running, testing, validating, sharing and reproducing results; however, computational science lags behind. In the best case, authors may provide their source code as a compressed archive and they may feel confident their research is reproducible. But this is not exactly true. James Buckheit and David Donoho proposed more than two decades ago that an article about computational results is advertising, not scholarship. The actual scholarship is the full software environment, code, and data that produced the result. This implies new workflows, in particular in peer-reviews. Existing journals have been slow to adapt: source codes are rarely requested and are hardly ever actually executed to check that they produce the results advertised in the article. ReScience is a peer-reviewed journal that targets computational research and encourages the explicit replication of already published research, promoting new and open-source implementations in order to ensure that the original research can be replicated from its description. To achieve this goal, the whole publishing chain is radically different from other traditional scientific journals. ReScience resides on GitHub where each new implementation of a computational study is made available together with comments, explanations, and software tests.
References: N.P. Rougier et al., (2017) Sustainable computational science: the ReScience initiative. PeerJ Computer Science 3:e142. DOI doi.org/10.7717/peerj-cs.142
Call for replication
It is now possible to suggest an article for a replication. Just open a new issue in the call for replication repository and give the reference of the original article and possibly the reason you would like to see this article replicated (please refrain from suggesting your own work). Note that you’re also encouraged to register as a reviewer such that you can review the replication you’ve been proposing if someone actually takes up the challenge.
If you’re looking for some challenge, you can also look at the current list of suggestions.