Abstract
This article focuses on curation of digital research data and development of related infrastructure. It explains that data-intensive computational approaches to science is playing an increasingly important role in scholarly research. However the sheer volume of digital data produced in the sciences is staggering, posing a daunting challenge to researchers and to publishers alike. It notes on the move by institutions to colloborate and make cross-section partnerships.
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