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Data Science Journal
Science today is rapidly becoming both multi-disciplinary and data-driven. These two trends pose new challenges to the capture, management, sharing, and dissemination of research data. Multi-disciplinary science means diverse data generation communities and equally diverse user groups. Data-driven means that sharing data among different communities is more important than ever because of the growth of modeling and knowledge discovery. Nanotechnology is a prime example, involving chemistry,doi:10.5334/dsj-2019-012 fatcat:lxntdul2fbgqjegqbt5uqdk76u