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
Item Type: Article (Refereed Research - C1)
Keywords: digital repository; data repository; data lifecycle; e-Research
Additional Information:

ISSN: 1432-1300
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%
Citation Count from Scopus Scopus 0
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