Scientific Data Annotation and Dissemination: Using the ‘Ike Wai Gateway to Manage Research Data
Scientific Data Annotation and Dissemination: Using the ‘Ike Wai Gateway to Manage Research Data
复制标题
科学数据注释和传播:使用 Ike Wai Gateway 管理研究数据
DOI:
10.1145/3311790.3396661
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发表时间:
2020
期刊:
影响因子:
--
通讯作者:
Jacobs Cleveland, Gwen A.
中科院分区:
文献类型:
--
作者:
Cleveland, Sean B.;Geis, Jennifer;Jacobs Cleveland, Gwen A.
Granting agencies invest millions of dollars on the generation and analysis of data, making these products extremely valuable. However, without sufficient annotation of the methods used to collect and analyze the data, the ability to reproduce and reuse those products suffers. This lack of assurance of the quality and credibility of the data at the different stages in the research process essentially wastes much of the investment of time and funding and fails to drive research forward to the level of potential possible if everything was effectively annotated and disseminated to the wider research community. In order to address this issue for the Hawai’i Established Program to Stimulate Competitive Research (EPSCoR) project, a water science gateway was developed at the University of Hawai‘i (UH), called the ‘Ike Wai Gateway. In Hawaiian, ‘Ike means knowledge and Wai means water. The gateway supports research in hydrology and water management by providing tools to address questions of water sustainability in Hawai‘i. The gateway provides a framework for data acquisition, analysis, model integration, and display of data products. The gateway is intended to complement and integrate with the capabilities of the Consortium of Universities for the Advancement of Hydrologic Science’s (CUAHSI) Hydroshare by providing sound data and metadata management capabilities for multi-domain field observations, analytical lab actions, and modeling outputs. Functionality provided by the gateway is supported by a subset of the CUAHSI’s Observations Data Model (ODM) delivered as centralized web based user interfaces and APIs supporting multi-domain data management, computation, analysis, and visualization tools to support reproducible science, modeling, data discovery, and decision support for the Hawai’i EPSCoR ‘Ike Wai research team and wider Hawai‘i hydrology community. By leveraging the Tapis platform, UH has constructed a gateway that ties data and advanced computing resources together to support diverse research domains including microbiology, geochemistry, geophysics, economics, and humanities, coupled with computational and modeling workflows delivered in a user friendly web interface with workflows for effectively annotating the project data and products. Disseminating results for the ‘Ike Wai project through the ‘Ike Wai data gateway and Hydroshare makes the research products accessible and reusable.
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DOI:
--
发表时间:
2018
期刊:
影响因子:
--
作者:
S. Cleveland;Jennifer Geis;G. Jacobs
通讯作者:
G. Jacobs
影响因子:
4.9
作者:
S. Mason;S. Cleveland;Pol Llovet;C. Izurieta;G. Poole
通讯作者:
G. Poole
影响因子:
2.1
作者:
Nancy Wilkins;T. Daniel Crawford
通讯作者:
T. Daniel Crawford
影响因子:
9.8
作者:
Merchant N;Lyons E;Goff S;Vaughn M;Ware D;Micklos D;Antin P
通讯作者:
Antin P
DOI:
10.24251/hicss.2017.755
发表时间:
2017
期刊:
Malaysian Journal of Social Sciences and Humanities (MJSSH)
影响因子:
--
作者:
S. Gesing;Nancy Wilkins;M. Dahan;Katherine A. Lawrence;Michael G. Zentner;M. Pierce;Linda Hayden;S. Marru
通讯作者:
S. Marru