Zobrazeno 1 - 10
of 48
pro vyhledávání: '"EarthCube"'
Publikováno v:
Data Science Journal, Vol 18, Iss 1 (2019)
Cyberinfrastructure (CI) is a standard tool in the geosciences, but the creation of successful CI remains difficult, and expensive projects can have significant consequences for scientific communities if they do not result in success. In this paper,
Externí odkaz:
https://doaj.org/article/00746c098fe342c2acc54b28b1dd6618
Publikováno v:
Digital Library Perspectives, 2016, Vol. 32, Issue 3, pp. 153-191.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DLP-09-2015-0017
Autor:
Siri Jodha Singh Khalsa
Publikováno v:
Data Science Journal, Vol 16, Iss 1 (2017)
EarthCube is a U.S. National Science Foundation initiative that aims to create a cyberinfrastructure (CI) for all the geosciences. An initial set of “building blocks” was funded to develop potential components of that CI. The Brokering Building B
Externí odkaz:
https://doaj.org/article/4ade42bca42047ecac62c1f6c8dc3641
Autor:
Richard, Stephen M., Geocodes Team
This is a description of the EarthCube Resource Registry metadata schema for describing a variety of information resources useful for geoscience research and data management. The document first discusses the fields in the schema that apply to all res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85e87de210298bd091625ae29fa00ecc
Autor:
Joel Cutcher-Gershenfeld, Karen S Baker, Nicholas Berente, Dorothy R Carter, Leslie A DeChurch, Courtney C Flint, Gabriel Gershenfeld, Michael Haberman, John Leslie King, Christine Kirkpatrick, Eric Knight, Barbara Lawrence, Spenser Lewis, W Christopher Lenhardt, Pablo Lopez, Matthew S Mayernik, Charles McElroy, Barbara Mittleman, Victor Nichol, Mark Nolan, Namchul Shin, Cheryl A Thompson, Susan Winter, Ilya Zaslavsky
Publikováno v:
Data Science Journal, Vol 15 (2016)
Understanding the earth as a system requires integrating many forms of data from multiple fields. Builders and funders of the cyberinfrastructure designed to enable open data sharing in the geosciences risk a key failure mode: What if geoscientists d
Externí odkaz:
https://doaj.org/article/5362eda6139d4d62ada83ac6b806944a
Project Raijin is an NSF EarthCube-funded effort whose goal is to develop community-owned tools that facilitate operating on unstructured climate and global weather data. We plan to: (1) develop extensible, scalable tools supporting fundamental analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d2451b7ac8def85d07632a83bc8a12b
Autor:
Maull, Keith, Mayernik, Matt
This presentation will outline our work to create guidelines for the EarthCube community related to software identification and citation. We will also discuss considerations for gathering citation and use metrics about projects involving software. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::114767f15a72a77e6d814289810e6478
Autor:
Rose, Brian, Banihirwe, Anderson, Camron, Drew, Clyne, John, Eroglu, Orhan, Grover, Max, Kent, Julia, Long, Matthew, May, Ryan, Paul, Kevin, Tyle, Kevin
Pangeo Showcase seminar series talk. Project Pythia (projectpythia.org) is funded by NSF EarthCube to develop open-access training materials and infrastructure to accelerate the adoption and effective use of the Pangeo stack among current and aspirin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b92832b7160f5a02fe01af5de964ac2
Autor:
AMGeO Collaboration
This document describes the Assimilative Mapping of Geospace Observations (AMGeO) v1.0.0. The AMGeO Collaboration can be contacted at amgeo@colorado.edu, and additional information is available on the AMGeO website.
Supported by NSF ICER 1928403
Supported by NSF ICER 1928403
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00b378d7979dafd2c10adb11172579c9
Publikováno v:
Data Science Journal; Vol 18 (2019); 21
Data Science Journal, Vol 18, Iss 1 (2019)
Data Science Journal, Vol 18, Iss 1 (2019)
Cyberinfrastructure (CI) is a standard tool in the geosciences, but the creation of successful CI remains difficult, and expensive projects can have significant consequences for scientific communities if they do not result in success. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95bb5dd68f13f32bcd1f041159dbd6cf
https://datascience.codata.org/jms/article/view/dsj-2019-021
https://datascience.codata.org/jms/article/view/dsj-2019-021