Knowledge: Provenance and authenticity

Citationsort descending Purpose Method Study Type
Mayer, R., Rauber A., Neumann M. Alexander, Thomson J., & Antunes G. (2012).  Preserving Scientific Processes from Design to Publications. Theory and Practice of Digital Libraries. 7489, 113 - 124. Provides a model for capturing contextual details (including provenance) for scientific processes (e.g., software and surrounding processes) 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
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
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