Bibliography

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Filters: Keyword is sg_data_quality  [Clear All Filters]
2012
Giarlo, M. J. (2012).  Academic Libraries as Data Quality Hubs. Prepared for the NSF III #1247471 workshop, Curating for Quality: Ensuring Data Quality to Enable New Science.
Marchionini, G., Lee C. A., Bowden H., & Lesk M. (2012).  Curating for Quality: Ensuring Data Quality to Enable New Science. 119.
Fiore, A. T. (2012).  Data Quality at Web Scale: Examining Context and Privacy. Prepared for the NSF III #1247471 workshop, Curating for Quality: Ensuring Data Quality to Enable New Science. 48 - 51.
Conway, P., & Bronicki J. (2012).  Error Metrics for Large-Scale Digitization. Prepared for the NSF III #1247471 workshop, Curating for Quality: Ensuring Data Quality to Enable New Science.
Ashley, K. (2012).  Generic Data Quality Metrics – what and why. Prepared for the NSF III #1247471 workshop, Curating for Quality: Ensuring Data Quality to Enable New Science.
Nelson, M. L. (2012).  A Plan for Curating “Obsolete Data or Resources”. Prepared for the NSF III #1247471 workshop, Curating for Quality: Ensuring Data Quality to Enable New Science. 48 - 51.
Lesk, M. (2012).  Scientific Data Quality: Openness, Provenance, and Replication. Prepared for the NSF III #1247471 workshop, Curating for Quality: Ensuring Data Quality to Enable New Science. 42 - 44.
McDonough, J. (2012).  Start Making Sense: Quality, Context & Meaning. Prepared for the NSF III #1247471 workshop, Curating for Quality: Ensuring Data Quality to Enable New Science.
J. Sticco, C. (2012).  Towards Data Quality Metrics Based on Functional Requirements for Scientific Records. Prepared for the NSF III #1247471 workshop, Curating for Quality: Ensuring Data Quality to Enable New Science.
2009
Kc, M. (2009).  Building a prototype for quality information retrieval from the World Wide Web. University of Wollongong Thesis Collection.
2005
Knight, S-A., & Burn J. (2005).  Developing a framework for assessing information quality on the World Wide Web. Informing Science Journal. 8(3), 159 - 172.
1996
Wang, R. Y., & Strong D. M. (1996).  Beyond Accuracy: What Data Quality Means to Data Consumers. J. Manage. Inf. Syst.. 12(4), 5 - 33.