Dataset acquisition, accessibility, annotation, e-research technologies (DART) project
Tsoi, Ah Chung, McDonnel, Jeff, Treloar, Andrew, and Atkinson, Ian (2007) Dataset acquisition, accessibility, annotation, e-research technologies (DART) project. International Journal on Digital Libraries, 7 (1-2). pp. 53-55.
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Abstract
The DART project undertook a coordinated program of e-Research requirements analysis, software development, policy and guideline creation and prototyping to investigate how best to: (1) collect, capture and retain large data sets and streams from a range of different sources; (2) deal with the infrastructure issues of scale, sustainability and interoperability between repositories; (3) support deposit into, access to, and annotation by a range of actors, to a set of digital libraries which include publications, datasets, simulations, software and dynamic knowledge representations; (4) assist researchers in dealing with intellectual property issues during the research process; and (5) adopt next-generation methods for research publication, dissemination and access. In this short paper we will describe a case study using an X-ray diffractometer. We report on the implementation and some of the issues encountered during the implementation.
Item ID: | 2837 |
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Item Type: | Article (Research - C1) |
ISSN: | 1432-1300 |
Keywords: | digital repository; data repository; data lifecycle; e-Research |
Additional Information: |
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Date Deposited: | 21 Sep 2009 05:37 |
FoR Codes: | 08 INFORMATION AND COMPUTING SCIENCES > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified @ 100% |
SEO Codes: | 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890205 Information Processing Services (incl. Data Entry and Capture) @ 100% |
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