Tracking and Establishing Provenance of Earth Science Datasets: A NASA-Based Example
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....
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Published in | Provenance and Annotation of Data and Processes pp. 226 - 229 |
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Main Authors | , , , |
Format | Book Chapter |
Language | English |
Published |
Cham
Springer International Publishing
2016
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Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
ISBN | 9783319405926 3319405926 |
ISSN | 0302-9743 1611-3349 |
DOI | 10.1007/978-3-319-40593-3_27 |
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Summary: | 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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ISBN: | 9783319405926 3319405926 |
ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/978-3-319-40593-3_27 |