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| Content Provider | ACM Digital Library |
|---|---|
| Author | Brahaj, Armand |
| Abstract | While researchers are primarily concerned with the output of their investigations, there is an increased focus on the datasets produced in investigations and their reusability. This work is focused on describing a technical scenario of scientific data management starting with the live data capture taking place in the investigation environment, followed by modeling and annotating of the raw data, data curation tools and finally publication of the datasets in a repository adhering to Linked Data principles. The solution is based on the eSciDoc platform but the process, the data formalization and other findings can be reused in any Virtual Research Environment (VRE) to achieve the same outcome. Special effort of the work is dedicated to the flexibility and quality of the data focusing on the preparation of the data for publication and provision of contextual information. |
| Starting Page | 1 |
| Ending Page | 4 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450323000 |
| DOI | 10.1145/2494188.2494231 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-09-04 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Semantic web Provenance Data management Negative data Live data capture Linked open data Escience |
| Content Type | Text |
| Resource Type | Article |
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