Science progresses through critical evaluation of underlying evidence and independent replication of results. However, most research findings are disseminated without access to supporting raw data, and findings are not routinely replicated. Furthermore, undisclosed flexibility in data analysis, such as incomplete reporting, unclear exclusion criteria, and optional stopping rules allow for presenting exploratory research findings using the tools of confirmatory hypothesis testing. These questionable research practices make results more publishable, though it comes at the expense of their credibility and future replicability. The Center for Open Science builds tools and encourages practices that incentivizes work that is not only good for the scientist, but also good for science. These include open source platforms to organize research, archive results, preregister analyses, and disseminate findings. This poster presents an overview of those practices and gives practical advice for researchers who want to increase the rigor of their practices.
Over the coming years, a core objective of the BNA is to promote and support credibility in neuroscience, facilitating a cultural shift away from ‘publish or perish’ towards one which is best for neuroscience, neuroscientists, policymakers and the public. Among many of our credibility activities, we will lead by example by ensuring that our journal, Brain and Neuroscience Advances, exemplifies scientific practices that aim to improve the reproducibility, replicability and reliability of neuroscience research. To support these practices, we are implementing some of the Transparency and Openness Promotion (TOP) guidelines, including badges for open data, open materials and preregistered studies. The journal also offers the Registered Report (RR) article format. In this editorial, we describe our expectations for articles submitted to Brain and Neuroscience Advances.
This article summarizes motivations, organization, and activities of the Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE5.1) held in Manchester, UK in September 2017. The WSSSPE series promotes sustainable research software by positively impacting principles and best practices, careers, learning, and credit. This article discusses the Code of Conduct, idea papers, position papers, experience papers, demos, and lightning talks presented during the workshop. The main part of the article discusses the speed-blogging groups that formed during the meeting, along with the outputs of those sessions.
In the years since the launch of the World Wide Web in 1993, there have been profoundly transformative changes to the entire concept of publishing—exceeding all the previous combined technical advances of the centuries following the introduction of movable type in medieval Asia around the year 10001 and the subsequent large-scale commercialization of printing several centuries later by J. Gutenberg (circa 1440). Periodicals in print—from daily newspapers to scholarly journals—are now quickly disappearing, never to return, and while no publishing sector has been unaffected, many scholarly journals are almost unrecognizable in comparison with their counterparts of two decades ago. To say that digital delivery of the written word is fundamentally different is a huge understatement. Online publishing permits inclusion of multimedia and interactive content that add new dimensions to what had been available in print-only renderings. As of this writing, the IEEE portfolio of journal titles comprises 59 online only2 (31%) and 132 that are published in both print and online. The migration from print to online is more stark than these numbers indicate because of the 132 periodicals that are both print and online, the print runs are now quite small and continue to decline. In short, most readers prefer to have their subscriptions fulfilled by digital renderings only.
Growing pressure in Australia to translate pre-clinical and clinical research into improving treatment outcomes (https://www.nhmrc.gov.au/research/research-translation-0) means that concerns about the irreproducibility of published data slowing research translation (Collins and Tabak, 2014) must be addressed.
This report describes perspectives from the Workshop on the Future of Research Curation and Research Reproducibility that was collaboratively sponsored by the U.S. National Science Foundation (NSF) and IEEE (Institute of Electrical and Electronics Engineers) in November 2016. The workshop brought together stakeholders including researchers, funders, and notably, leading science, technology, engineering, and mathematics (STEM) publishers. The overarching objective was a deep dive into new kinds of research products and how the costs of creation and curation of these products can be sustainably borne by the agencies, publishers, and researcher communities that were represented by workshop participants. The purpose of this document is to describe the ideas that participants exchanged on approaches to increasing the value of all research by encouraging the archiving of reusable data sets, curating reusable software, and encouraging broader dialogue within and across disciplinary boundaries. How should the review and publication processes change to promote reproducibility? What kinds of objects should the curatorial process expand to embrace? What infrastructure is required to preserve the necessary range of objects associated with an experiment? Who will undertake this work? And who will pay for it? These are the questions the workshop was convened to address in presentations, panels, small working groups, and general discussion.