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Bates, J. J., Privette J. L., & Hills A. D.
(2012). NOAA’s National Climatic Data Center’s Maturity Model for Climate Data Records.
Curating for Quality: Ensuring Data Quality to Enable New Science. 32 - 33. |
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Metrics, Targeted |
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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. |
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Metrics, Targeted |
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Digital Curation Centre
(2014). Five steps to decide what data to keep: a checklist for appraising research data v.1.
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A guide written by the DCC |
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Metrics, Targeted |
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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. |
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Metrics, Targeted |
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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. |
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Metrics, Targeted |
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Peng, G., Privette J. L., Kearns E. J., Ritchey N. A., & Ansari S.
(2015). A Unified Framework for Measuring Stewardship Practices Applied to Digital Environmental Datasets.
Data Science Journal. 13, |
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Metrics, Targeted |
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Ramapriyan, H.., Moses J. F., & Duerr R..
(2012). Preservation of data for Earth system science - Towards a content standard.
5304 - 5307. |
Presents the need for a preservation content specification for earth science data, and proposes content items to be captured |
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Metrics, Targeted |
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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. |
|
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Metrics, Targeted |
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Wang, R. Y., & Strong D. M.
(1996). Beyond Accuracy: What Data Quality Means to Data Consumers.
J. Manage. Inf. Syst.. 12(4), 5 - 33. |
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Metrics, Targeted |
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Roche, D. G., Kruuk L. E. B., Lanfear R., & Binning S. A.
(2015). Public Data Archiving in Ecology and Evolution: How Well Are We Doing?.
PLOS Biol. 13(11), e1002295. |
Investigated the quality of 100 datasets deposited in Dryad and "associated with nonmolecular studies in journals that commonly publish ecological and evolutionary research and have a strong PDA policy" |
Evaluated the completeness and reusability of datasets based on criteria described in the paper |
Measurement, Metrics, Targeted |
