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Researchers in data intensive domains, like the Virtual Physiological Human Initiative (VPH-I), are commonly overwhelmed with the vast and increasing amount of information available. Advanced studies in biomedicine and other domains often require a considerable amount of effort to achieve data access to a critical mass of relevant data to analyze the problem at hand. This paper proposes a novel application of Quality of Service (QoS) mechanisms previously used with computing services and now applied to data services. The proposed approach supports negotiable guarantees with respect to data quantity and quality for data access in advance of the actual data retrieval. Therefore, new data-related Service Level Objectives (SLOs) are introduced and a corresponding QoS management model is presented.
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