Tackling the Challenges of Earth Science Data Synthesis: Insights from (meta)data standards approaches

Autor:	Valerie C Hendrix, Danielle S Christianson, Charuleka Varadharajan, Madison Burrus, Shreyas Cholia, You-Wei Cheah, Housen Chu, Robert Crystal-Ornelas, Joan E Damerow, Zarine Kakalia, Fianna O'Brien, Gilberto Pastorello, Emily Robles, Deb Agarwal
Rok vydání:	2021
Předmět:	Complex data type Computer science business.industry Earth science Data synthesis Big data Physics::Geophysics Metadata Remote sensing (archaeology) Informatics Component (UML) Physics::Space Physics Astrophysics::Earth and Planetary Astrophysics business
DOI:	10.1002/essoar.10505754.1
Popis:	Diverse, complex data are a significant component of Earth Science’s “big data” challenge. Some earth science data, like remote sensing observations, are well understood, are uniformly structured, ...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f1071add9e5d4b51e3bd7baccad12c7 https://doi.org/10.1002/essoar.10505754.1 Zobrazit plný text záznamu