Medical and scientific advances are predicated on new knowledge that is robust and
reliable and that serves as a solid foundation on which further advances can be built. In …

Reproducibility is widely considered to be an essential requirement of the scientific process.
However, a number of serious concerns have been raised recently, questioning whether …

Brian 2 allows scientists to simply and efficiently simulate spiking neural network models.
These models can feature novel dynamical equations, their interactions with the …

The increasing complexity of readouts for omics analyses goes hand-in-hand with concerns
about the reproducibility of experiments that analyze'big data'1, 2, 3. When analyzing very …

Differential privacy is at a turning point. Implementations have been successfully leveraged
in private industry, the public sector, and academia in a wide variety of applications, allowing …

Reproducible research---by its many names---has come to be regarded as a key concern
across disciplines and stakeholder groups. Funding agencies and journals, professional …

The Madagascar software package is designed for analysis of large-scale multidimensional
data, such as those occurring in exploration geophysics. Madagascar provides a framework …

Background Microbial inhabitants of soils are important to ecosystem and planetary
functions, yet there are large gaps in our knowledge of their diversity and ecology. The …

Journal policy on research data and code availability is an important part of the ongoing shift
toward publishing reproducible computational science. This article extends the literature by …

Geoscientists now live in a world rich with digital data and methods, and their computational
research cannot be fully captured in traditional publications. The Geoscience Paper of the …