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The vision of the Scientific Web is to enable research scientists to collaborate in a ubiquitous manner; sharing resources, data, and insights how to perform experiments. The grid provides the underlying computing infrastructure, thereby enabling workload sharing and distribution of computational tasks among millions of nodes. However, current collaboration tools in scientific grid environments do not support scientists in managing various resources, artifacts, data, experiments in a team-aware manner. In this paper we introduce an approach to enhance current grid infrastructures with awareness of team interactions. Our proposed activity model allows users to manage activities, involved team members and their expertise, as well as associated grid resources. Based on the action data captured from various sources, we establish a bipartite activity-user graph - central to team-centric collaboration metrics. We discuss the applicability of these metrics in grid environments by introducing novel adaptation algorithms enabling team-aware resource utilization.