2 papers
astro-ph.IM2017
Building a Disciplinary, World-Wide Data Infrastructure
Françoise Genova, Christophe Arviset, Bridget M. Almas +4
Sharing scientific data, with the objective of making it fully discoverable, accessible, assessable, intelligible, usable, and interoperable, requires work at the disciplinary leve…
astro-ph.IM2017
From Sky to Earth: Data Science Methodology Transfer
Ashish A. Mahabal, Daniel Crichton, S. G. Djorgovski +2
We describe here the parallels in astronomy and earth science datasets, their analyses, and the opportunities for methodology transfer from astroinformatics to geoinformatics. Usin…