On-Demand Big Data Analysis in Digital Repositories: A Lightweight Approach-Reference-Cited by-同舟云学术

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On-Demand Big Data Analysis in Digital Repositories: A Lightweight Approach

Published:2015 Issue: Volume: Page:274-277
ISSN:0302-9743
Container-title:Digital Libraries: Providing Quality Information
language:
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Author:

Xie Zhiwu,Chen Yinlin,Jiang Tingting,Speer Julie,Walters Tyler,Tarazaga Pablo A.,Kasarda Mary

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-27974-9_29

Reference9 articles.

1. Akers, K.G., et al.: Building Support for Research Data Management: Biographies of Eight Research Universities. International Journal of Digital Curation 9(2), 171–191 (2014)

2. Higgins, S.: The DCC curation lifecycle model. International Journal of Digital Curation. 3(1), 134–140 (2008)

3. Farcas, C., et al.: Biomedical cyberinfrastructure challenges. In: Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery, pp. 6:1–6:4. ACM, New York (2013)

4. Xie, Z., et al.: Towards use and reuse driven big data management. In: Proceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries, pp. 65–74. ACM, New York (2015)

5. ISO 14721:2003: Open Archival Information System - Reference Model (2003)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Big data curation framework: Curation actions and challenges;Journal of Information Science;2022-11-11

2. Evaluating Cost of Cloud Execution in a Data Repository;Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries;2016-06-19

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