Abstract
Information quality is of paramount importance to science. Accurate, scientifically vetted and statistically meaningful and, ideally, reproducible information engenders scientific trust and research opportunities. Therefore, so-called Highly Influential Scientific Assessments (HISA) such as the U.S. Third National Climate Assessment (NCA3) undergo a very rigorous process to ensure transparency and credibility. As an activity to support the transparency of such reports, the U.S. Global Change Research Program has developed the Global Change Information System (GCIS). Specifically related to the transparency of NCA3, a recent activity was carried out to trace the provenance as completely as possible for all figures in the NCA3 report that predominantly used NASA data. This paper discusses lessons learned from this activity that traces the provenance of NASA figures in a major HISA-class pdf report.
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Acknowledgements
The authors would like to thank the other members of the Provenance Team - Steve Aulenbach, Brian Duggan, Gerald Manipon, Dexter Tan, Curt Tilmes, Brian Wilson and Stephan Zednik. Goldstein’s work at the USGCRP National Coordination Office (NCO) was supported by an NSF contract with UCAR and a subsequent NASA contract with ICF International. Hua’s work was supported by a NASA contract with the Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA. Ramapriyan’s work was supported by a NASA contract with Science Systems and Applications, Inc. Wolfe’s work was performed as a NASA employee on detail to USGCRP.
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Ramapriyan, H.K., Goldstein, J.C., Hua, H., Wolfe, R.E. (2016). Tracking and Establishing Provenance of Earth Science Datasets: A NASA-Based Example. In: Mattoso, M., Glavic, B. (eds) Provenance and Annotation of Data and Processes. IPAW 2016. Lecture Notes in Computer Science(), vol 9672. Springer, Cham. https://doi.org/10.1007/978-3-319-40593-3_27
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DOI: https://doi.org/10.1007/978-3-319-40593-3_27
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