Culture: Evaluation of quality

Citationsort ascending Purpose Method Study Type
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
Wang, R. Y., & Strong D. M. (1996).  Beyond Accuracy: What Data Quality Means to Data Consumers. J. Manage. Inf. Syst.. 12(4), 5 - 33. Metrics, Targeted
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. Metrics, Targeted
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 Metrics, Targeted
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, Metrics, Targeted
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. Metrics, Targeted
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. Metrics, Targeted
Digital Curation Centre (2014).  Five steps to decide what data to keep: a checklist for appraising research data v.1. A guide written by the DCC Metrics, Targeted
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. Metrics, Targeted
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. Metrics, Targeted
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