Year: 2016
Type: preprint
Abstract: 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.
DOI: 10.1101/053934
Institutions: SRI International, Stanford Medicine, Stanford University, Harvard University, McGovern Institute for Brain Research, Massachusetts Institute of Technology, MRC Cognition and Brain Sciences Unit, University of Washington, University of Warwick, University of California, Irvine, University of California San Diego, University of California, Berkeley
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funders: University of Alabama at Birmingham, Wellcome Trust, University of Alabama, International AIDS Society, National Institutes of Health, Center for AIDS Research, University of Washington, Center for AIDS Research, University of Alabama at Birmingham, Medical Research Council, National Institute on Alcohol Abuse and Alcoholism, National Institute on Drug Abuse, National Institute of Allergy and Infectious Diseases, National Institute of Biomedical Imaging and Bioengineering, NIH Blueprint for Neuroscience Research, Office of AIDS Research
Awards: G1090173496, G1661028856, G2621004222, NEUROIMAGING OF CONNECTIVITY IN ALCOHOLISM, G4227900763, G4391827178, G496053157, Connectomes Related to Anxiety and Depression in Adolescents, G5699974340, G573798717, G6950284150, Nipype: Dataflows for Reproducible Biomedical Research, Genetic Determinants of Schizophrenia Intermediate Phenotypes, G9000011959, G9000053605, G9000072160, G9000148373, G9000172776, G9000222926, G9000320910, G9000341634, G9000343736, UAB Center for AIDS Research (CFAR), G929137571, G940002362, G94475886
OpenAlex ID: W2546908243