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.
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To stand the test of time: Long term stewardship of digital data sets in Science and Engineering.: A report to the National Science Foundation from the ARL Workshop on New Collaborative Relationships; the role of Academic Libraries in the Digital Data Universe. Sep. 26–27, Arlington (2006)
Swedlow J, Lewis S and Goldberg I (2006). Modelling data across labs, genomes, space and time. Nat. Cell Biol. 8(11): 1190–1194
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Tsoi, A.C., McDonell, J., Treloar, A. et al. Dataset acquisition, accessibility, annotation, e-research technologies (DART) project. Int J Digit Libr 7, 53–55 (2007). https://doi.org/10.1007/s00799-007-0019-4
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DOI: https://doi.org/10.1007/s00799-007-0019-4