NASA EOSDIS Data Identifiers: Approach and System

Q2 Computer Science Data Science Journal Pub Date : 2017-04-04 DOI:10.5334/dsj-2017-015
L. Wanchoo, N. James, H. Ramapriyan
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引用次数: 3

Abstract

NASA's Earth Science Data and Information System (ESDIS) Project began investigating the use of Digital Object Identifiers (DOIs) in 2010 with the goal of assigning DOIs to various data products. These Earth science research data products produced using Earth observations and models are archived and distributed by twelve Distributed Active Archive Centers (DAACs) located across the United States. Each data center serves a different Earth science discipline user community and, accordingly, has a unique approach and process for generating and archiving a variety of data products. These varied approaches present a challenge for developing a DOI solution. To address this challenge, the ESDIS Project has developed processes, guidelines, and several models for creating and assigning DOIs. Initially the DOI assignment and registration process was started as a prototype but now it is fully operational. In February 2012, the ESDIS Project started using the California Digital Library (CDL) EZID for registering DOIs. The DOI assignments were initially labor-intensive. The system is now automated, and the assignments are progressing rapidly. As of February 28, 2017, over 50% of the data products at the DAACs had been assigned DOIs. Citations using the DOIs increased from about 100 to over 370 between 2015 and 2016.
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NASA EOSDIS数据标识符:方法和系统
美国国家航空航天局的地球科学数据和信息系统(ESDIS)项目于2010年开始调查数字对象标识符(DOI)的使用,目的是将DOI分配给各种数据产品。这些使用地球观测和模型制作的地球科学研究数据产品由位于美国各地的十二个分布式主动档案中心(DAAC)存档和分发。每个数据中心都为不同的地球科学学科用户社区提供服务,因此,它们有一种独特的方法和流程来生成和归档各种数据产品。这些不同的方法对开发DOI解决方案提出了挑战。为了应对这一挑战,ESDIS项目制定了创建和分配DOI的流程、指导方针和几个模型。最初,内政部的分配和登记程序是作为一个原型开始的,但现在它已经全面运作。2012年2月,ESDIS项目开始使用加州数字图书馆(CDL)EZID注册DOI。内政部的任务最初是劳动密集型的。该系统现已实现自动化,任务进展迅速。截至2017年2月28日,DAAC超过50%的数据产品已分配DOI。2015年至2016年间,使用DOI的引文从约100篇增加到370多篇。
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来源期刊
Data Science Journal
Data Science Journal Computer Science-Computer Science (miscellaneous)
CiteScore
5.40
自引率
0.00%
发文量
17
审稿时长
10 weeks
期刊介绍: The Data Science Journal is a peer-reviewed electronic journal publishing papers on the management of data and databases in Science and Technology. Details can be found in the prospectus. The scope of the journal includes descriptions of data systems, their publication on the internet, applications and legal issues. All of the Sciences are covered, including the Physical Sciences, Engineering, the Geosciences and the Biosciences, along with Agriculture and the Medical Science. The journal publishes papers about data and data systems; it does not publish data or data compilations. However it may publish papers about methods of data compilation or analysis.
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