Conference proceeding
Designing a knowledge management approach for the CAMRA community of science
PRACTICAL ASPECTS OF KNOWLEDGE MANAGEMENT, PROCEEDINGS, Vol.4333, pp.315-325
Lecture Notes in Artificial Intelligence
01 Jan 2006
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
CAMRA (Center for Advancing Microbial Risk Assessment) gathers a community of scientists that investigate several stages in the life cycle of biological agents of concern. This paper describes the knowledge management (KM) approach adopted for CAMRA's community of scientists. The approach includes knowledge facilitators, a web- and repository-based KM system, and use-centered design. The approach relies on a KM methodology that addresses the most common causes of failures in KM approaches that was complemented with a use-centered design methodology. The resulting combined methodology represents a unique way of implementing KM to promote knowledge sharing and collaboration. We describe the principles in our design and the initial steps undertaken to implement it for CAMRA. We conclude by laying out our future steps.
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Details
- Title
- Designing a knowledge management approach for the CAMRA community of science
- Creators
- Rosina O. Weber - Drexel UniversityMarcia L. Morelli - Drexel Univ, Coll Informat Sci & Technol, 3141 Chestnut St, Philadelphia, PA 19104 USAMichael E. Atwood - Drexel UniversityJason M. Proctor - Drexel Univ, Coll Informat Sci & Technol, 3141 Chestnut St, Philadelphia, PA 19104 USA
- Contributors
- U Reimer (Editor)D Karagiannis (Editor)
- Publication Details
- PRACTICAL ASPECTS OF KNOWLEDGE MANAGEMENT, PROCEEDINGS, Vol.4333, pp.315-325
- Series
- Lecture Notes in Artificial Intelligence
- Publisher
- Springer Nature
- Number of pages
- 3
- Grant note
- R83236201 / U.S. Department of Homeland Security Programs U.S. Department of Homeland Security Programs
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- [Retired Faculty]; Information Science (Informatics)
- Identifiers
- 991019170571204721
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- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems