References
- Alan, F. K., Sanil, A. P., Sacks, J., et al. (2001) Workshop Report: Affiliates Workshop on Data Quality, North Carolina: NISS.
- Alexander, J. E., & Tate, M. A. Web wisdom: How to evaluate and create information on the web, Mahwah, NJ: Erlbaum.
- Cao, J. J., Diao, X. C., Wang, T., et al. (2010) Research on Some Basic Problems in Data Quality Control. Microcomputer Information 09, pp 12–14.
- Cappiello, C., Francalanci, C., & Pernici, B. (2004) Data quality assessment from user‘s perspective. Procedures of the 2004 International Workshop on Information Quality in Information Systems, New York: ACM, pp 78–73.
- Crosby, P. B. (1988) Quality is Free: The Art of Making Quality Certain, New York: McGraw-Hill.
- Data Application Environment Construction and Service of Chinese Academy of Sciences (2009) Data Quality Evaluation Method and Index System. Retrieved October 30, 2013 from the World Wide Web: http://www.csdb.cn/upload/101205/1012052021536150.pdf
- Demchenko, Y., Grosso, P., de Laat, C., et al. (2013) Addressing Big Data Issues in Scientific Data Infrastructure. Procedures of the 2013 International Conference on Collaboration Technologies and Systems, California: ACM, pp 48–55.
- Feng, Z. Y., Guo, X. H., Zeng, D. J., et al. (2013) On the research frontiers of business management in the context of Big Data. Journal of Management Sciences in China 16(01), pp 1–9.
- Gantz, J., & Reinsel, D. (2012) THE DIGITAL UNIVERSE IN 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East. Retrieved February, 2013 from the World Wide Web: http://www.emc.com/collateral/analyst-reports/idc-digital-universe-western-europe.pdf
- General Administration of Quality Supervision (2008) Inspection and Quarantine of the People’s Republic of China. Quality management systems-Fundamentals and vocabulary (GB/T19000—2008/ISO9000:2005), Beijing.
- Katal, A., Wazid, M., & Goudar, R. (2013) Big Data: Issues, Challenges, Tools and Good Practices. Procedures of the 2013 Sixth International Conference on Contemporary Computing, Noida: IEEE, pp 404–409.
- Katerattanakul, P., & Siau, K. (1999) Measuring information quality of web sites: Development of an instrument. Procedures of the 20th International Conference on Information Systems, North Carolina: ACM, pp 279–285.
- Knight, S., & Burn, J. (2005) Developing a Framework for Assessing Information Quality on the World Wide Web. Information Science Journal 18, pp 159–171.
- Li, G. J., & Chen, X. Q. (2012) Research Status and Scientific Thinking of Big Data. Bulletin of Chinese Academy of Sciences 27(06), pp 648–657.
- Li, J. Z., & Liu, X. M. (2013) An Important Aspect of Big Data: Data Usability. Journal of Computer Research and Development 50(6), pp 1147–1162.
- McGilvray, D. (2008) Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information, California: Morgan Kaufmann.
- McGilvray, D. (2010) Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information, Beijing: Publishing House of Electronics Industry.
- Meng, X. F., & Ci, X. (2013) Big Data Management: Concepts, Techniques and Challenges. Journal of Computer Research and Development 50(1), pp 146–169.
- Nature (2008) Big Data. Retrieved November 5, 2013 from the World Wide Web: http://www.nature.com/news/specials/bigdata/index.html
- Science (2011) Special online collection: Dealing with data. Retrieved November 5, 2013 from the World Wide Web: http://www.sciencemag.org/site/special/data/
- Shankaranarayanan, G., Ziad, M., & Wang, R. Y. (2012) Preliminary Study on Data Quality Assessment for Socialized Media. China Science and Technology Resources 44(2), pp 72–79.
- Shanks, G., & Corbitt, B. (1999) Understanding data quality: Social and cultural aspects. Procedures of the 10th Australasian Conference on Information Systems, Wellington: MCB University Press Ltd., pp 785–797.
- Silberschatz, A., Korth, H., & Sudarshan, S. (2006) Database System Concepts, Beijing: Higher Education Press.
- Song, M., & Qin, Z. (2007) Reviews of Foreign Studies on Data Quality Management. Journal of Information 2, pp 7–9.
- Wang, H., & Zhu, W. M. (2007) Quality of Audit Data: A Perspective of Evidence. Journal of Nanjing University (Natural Sciences) 43(1), pp 29–34.
- Wang, J. L., Li, H., & Wang, Q. (2010) Research on ISO 8000 Series Standards for Data Quality. Standard Science 12, pp 44–46.
- Wang, R., & Storey, V. (1995) Framework for Analysis of Quality Research. IEEE Transactions on Knowledge and Data Engineering 1(4), pp 623–637.
- Wang, R. Y., & Strong, D. M. (1996) Beyond Accuracy: What Data Quality Means to Data Consumers. Journal of Management Information Systems 12(4), pp 5–33.
- Wang, Y. F., Zhang, C. Z., Zhang, B. B., et al. (2007) A Survey of Data Cleaning. New Technology of Library and Information Service 12, pp 50–56.
- Zhu, X., & Gauch, S. (2000) Incorporating quality metrics in centralized/distributed information retrieval on the World Wide Web. Procedures of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Athens: ACM, pp 288–295.
- Zhu, Y. Y., & Xiong, Y. (2009) Datology and Data Science, Shanghai: Fudan University Press.
- Zong, W., & Wu, F.(2013) The Challenge of Data Quality in the Big Data Age. Journal of Xi’an Jiaotong University (Social Sciences) 33(5), pp 38–43.
