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Pepe, A.; Mayernik, M.; Borgman, C.L.; Van de Sompel, H.: From artifacts to aggregations : modeling scientific life cycles on the semantic Web (2010)
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- Abstract
- 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 facilitate 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.
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Borgman, C.L.: Big data, little data, no data : scholarship in the networked world (2015)
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- Abstract
- "Big Data" is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six "provocations" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.
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Borgman, C.L.: Will the global information infrastructure be the library of the future? : Central and Eastern Europe as a case example (1996)
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- Source
- IFLA journal. 22(1996) no.2, S.121-127
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Borgman, C.L.: ¬The conundrum of sharing research data (2012)
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- Date
- 11. 6.2012 15:22:29
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Borgman, C.L.; Scharnhorst, A.; Golshan, M.S.: Digital data archives as knowledge infrastructures : mediating data sharing and reuse (2019)
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- Date
- 7. 7.2019 11:58:22
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Borgman, C.L.; Smart, L.J.; Millwood, K.A.; Finley, J.R.; Champeny, L.; Gilliland, A.J.; Leazer, G.H.: Comparing faculty information seeking in teaching and research : implications for the design of digital libraries (2005)
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- Date
- 3. 6.2005 20:40:22
