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As the volume of archived scientific data and information increases exponentially, the issue of the reliability and reproducibility of research results has come to the fore. The published output per year now exceeds one million peer-reviewed papers in more than twenty-five thousand journals with an estimated growth of up to 5% per annum. In addition to the published literature, open science policies encourage posting of a vast amount of data in structured and unstructured repositories. We must find ways of handling, validating, and accessing data and information more effectively and more efficiently or, else, the sheer volume threatens to obstruct scientific progress. Scientific journals continue to be the dominant channel for sharing vetted data. This is because in the value chain of establishing research quality, selective journals are most effective. They remain deeply embedded in the research ecosystem: from filtering based on peer review, editorial governance, and revision cycles; to broad dissemination, discoverability, and reliable archiving; on to usage/citation metrics, and reputation based value assignment – which together inform research assessment. Journal policy influences researcher behaviour. Hence, if journals develop and agree consistent new standards, this is an excellent opportunity for establishing better ways of handling data and information. In particular this is the case if standards are set in coordination with research funders and institutions. In what follows, firstly, I will highlight the shift to transparent publishing at EMBO Press, for which open science provides context. Second, I will be reviewing the problem of research reliability and reproducibility, focussing on adapting the editorial processes for enhanced quality assurance. Transparent peer review and data transparency are highlighted as key elements. I will argue that the scientific paper needs to be reinvented: data packaged into the long established information unit of the research paper is optimized for the human reader, but largely opaque to computational access. Navigating the information wave necessitates that research publications are optimized for discoverability. Finally, I summarize how current challenges and changes could catalyse agreement on new standards.

Data accessibility and reproducibility: Moving to transparent publishing in the biosciences