Conference proceeding
Historical Records and Digitization Factors in Biodiversity Communities of Practice
METADATA AND SEMANTICS RESEARCH, MTSR 2015, v 544, pp 336-347
01 Jan 2015
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
A central aim of biodiversity informatics initiatives is the global aggregation of biodiversity data. This work depends significantly on the translation of local data and metadata into wider global standards. While this is often considered to be primarily a technical task, there are also organizational factors to consider. In this paper, we use a Communities of Practice approach to argue that data and metadata in individual departments and institutions has often adapted over time to meet local organizational contexts, and that digitization workflows need to account for and capture the historical dimensions of collections, to support productive data migration. As part of this work, the central role of curators' and managers' practical and everyday knowledge of their collections is emphasized.
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Details
- Title
- Historical Records and Digitization Factors in Biodiversity Communities of Practice
- Creators
- Michael Khoo - College of Computing & InformaticsGary Rosenberg - Drexel University
- Contributors
- E Garoufallou (Editor)R J Hartley (Editor)P Gaitanou (Editor)
- Publication Details
- METADATA AND SEMANTICS RESEARCH, MTSR 2015, v 544, pp 336-347
- Series
- Communications in Computer and Information Science
- Publisher
- Springer Nature
- Number of pages
- 12
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Biodiversity, Earth, and Environmental Science (BEES); Malacology
- Web of Science ID
- WOS:000368260500029
- Scopus ID
- 2-s2.0-84945893782
- Other Identifier
- 991019168884404721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Computer Science, Interdisciplinary Applications
- Computer Science, Theory & Methods
- Robotics