DataStaR: Using the Semantic Web approach for Data Curation
In disciplines as varied as medicine, social sciences, and economics, data and their analyses are essential parts of researchers’ contributions to their respective fields. While sharing research data for review and analysis presents new opportunities for furthering research, capturing these data i...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
University of Edinburgh
2011-07-01
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Series: | International Journal of Digital Curation |
Online Access: | https://129.215.67.1/ijdc/article/view/197 |