In the process of scientiﬁc research, many information objects are generated, all of which may remain valuable indeﬁnitely. However, artifacts such as instrument data and associated calibration information may have little value in isolation; their meaning is derived from their relationships to each other. Individual artifacts are best represented as components of a life cycle that is speciﬁc to a scientiﬁc research domain or project. Current cataloging practices do not describe objects at a sufﬁcient level of granularity nor do they offer the globally persistent identiﬁers necessary to discover and manage scholarly products with World Wide Web standards. The Open Archives Initiative’s Object Reuse and Exchange data model (OAI-ORE) meets these requirements. We demonstrate a conceptual implementation of OAI-ORE to represent the scientiﬁc life cycles of embedded networked sensor applications in seismology and environmental sciences. By establishing relationships between publications, data, and contextual research information, we illustrate how to obtain a richer and more realistic view of scientiﬁc practices. That view can facil- itate new forms of scientiﬁc research and learning. Our analysis is framed by studies of scientiﬁc practices in a large, multidisciplinary, multi-university science and engineering research center, the Center for Embedded Networked Sensing.