Efforts are being made to deliver research data-management capabilities to users as a hosted 'software as a service' (SaaS) to address the challenges of computational crisis in many laboratories and a growing need for far more powerful data-management tools. SaaS is a software-delivery model in which software is hosted centrally and accessed by users using a thin client over the Internet. SaaS leverages intuitive Web 2.0 interfaces, deep domain knowledge, and economies of scale to deliver capabilities are easier to use, more capable, or more cost-effective than software accessed through other means as demonstrated in many business and consumer tools. The opportunity for continuous improvement via dynamic deployment of new features and bug fixes is also significant, along with the potential for expert operators to intervene and troubleshoot on the user's behalf.
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