RT Journal Article SR Electronic T1 Linked Data in Neuroscience: Applications, Benefits, and Challenges JF bioRxiv FD Cold Spring Harbor Laboratory SP 053934 DO 10.1101/053934 A1 B Nolan Nichols A1 Satrajit S. Ghosh A1 Tibor Auer A1 Thomas Grabowski A1 Camille Maumet A1 David Keator A1 Maryann E. Martone A1 Kilian M. Pohl A1 Jean-Baptiste Poline YR 2016 UL http://biorxiv.org/content/early/2016/11/02/053934.abstract AB The fundamental goal of neuroscience is to understand the nervous system at all levels of description, from molecular components to behavior. The complexity of achieving this goal in neuroscience, and biomedicine in general, poses many technical and sociological challenges. Among these are the need to organize neuroscientific data, information, and knowledge to facilitate new scientific endeavors, provide credibility and visibility of research findings, and increase the efficiency of data reuse. Linked Data is a set of principles based on Web technology that can aid this process as it organizes data as an interconnected network of information. This review examines the history, practical impact, potential, and challenges of applying Linked Data principles to neuroscience.