Data Science Journal最新文献_第6页

NASA EOSDIS Data Identifiers: Approach and System. NASA EOSDIS数据标识符:方法和系统

Data Science Journal Pub Date : 2017-01-01 Epub Date: 2017-04-04 DOI: 10.5334/dsj-2017-015

Lalit Wanchoo, Nathan James, Hampapuram K Ramapriyan

{"title":"NASA EOSDIS Data Identifiers: Approach and System.","authors":"Lalit Wanchoo, Nathan James, Hampapuram K Ramapriyan","doi":"10.5334/dsj-2017-015","DOIUrl":"10.5334/dsj-2017-015","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":35375,"journal":{"name":"Data Science Journal","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6839702/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43633157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Geospatial Data Cloud: An Implementation of Applying Cloud Computing in Geosciences 地理空间数据云:云计算在地球科学中的应用

Data Science Journal Pub Date : 2014-11-06 DOI: 10.2481/DSJ.14-042

Wang Xuezhi, Zhao Jianghua, Zhou Yuanchun, Liao Jianhui

引用次数: 9

A Data-Driven Method for Selecting Optimal Models Based on Graphical Visualisation of Differences in Sequentially Fitted ROC Model Parameters 一种基于序列拟合ROC模型参数差异图形可视化的数据驱动选择最优模型的方法

Data Science Journal Pub Date : 2013-05-02 DOI: 10.2481/dsj.WDS-045

Kassim S. Mwitondi, R. Moustafa, A. Hadi

引用次数: 8

Harnessing Data Flow and Modelling Potentials for Sustainable Development 利用数据流和建模潜力促进可持续发展

Data Science Journal Pub Date : 2012-12-19 DOI: 10.2481/dsj.009-027

Kassim S. Mwitondi, J. Bugrien

{"title":"Harnessing Data Flow and Modelling Potentials for Sustainable Development","authors":"Kassim S. Mwitondi, J. Bugrien","doi":"10.2481/dsj.009-027","DOIUrl":"https://doi.org/10.2481/dsj.009-027","url":null,"abstract":"Tackling the global challenges relating to health, poverty, business, and the environment is heavily dependent on the flow and utilisation of data. However, while enhancements in data generation, storage, modelling, dissemination, and the related integration of global economies and societies are fast transforming the way we live and interact, the resulting dynamic, globalised, information society remains digitally divided. On the African continent in particular, this division has resulted in a gap between the knowledge generation and its transformation into tangible products and services. This paper proposes some fundamental approaches for a sustainable transformation of data into knowledge for the purpose of improving the people's quality of life. Its main strategy is based on a generic data sharing model providing access to data utilising and generating entities in a multi-disciplinary environment. It highlights the great potentials in using unsupervised and supervised modelling in tackling the typically predictive-in-nature challenges we face. Using both simulated and real data, the paper demonstrates how some of the key parameters may be generated and embedded in models to enhance their predictive power and reliability. The paper's conclusions include a proposed implementation framework setting the scene for the creation of decision support systems capable of addressing the key issues in society. It is expected that a sustainable data flow will forge synergies among the private sector, academic, and research institutions within and among countries. It is also expected that the paper's findings will help in the design and development of knowledge extraction from data in the wake of cloud computing and, hence, contribute towards the improvement in the people's overall quality of life. To avoid running high implementation costs, selected open source tools are recommended for developing and sustaining the system.","PeriodicalId":35375,"journal":{"name":"Data Science Journal","volume":"11 1","pages":"140-152"},"PeriodicalIF":0.0,"publicationDate":"2012-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69170777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Open Access to Digital Information: Opportunities and Challenges Identified During the Electronic Geophysical Year 开放获取数字信息:电子地球物理年期间确定的机遇和挑战

Data Science Journal Pub Date : 2010-01-27 DOI: 10.2481/DSJ.IGY-002

W.K. (Bill) Peterson

引用次数: 5

Corrections made by the Editors 编辑所作的更正

Data Science Journal Pub Date : 2007-10-26 DOI: 10.2481/539

Chen-Yuan Liu, Jhen-Cheng Wang, S. Luo

引用次数: 0

BrainBank Metadata Specification for the Human Brain Project and Neuroinformatics 人脑计划和神经信息学的脑库元数据规范

Data Science Journal Pub Date : 2007-07-19 DOI: 10.2481/DSJ.6.S375

Hu Lianglin, Hou Yufang, Liao Jianhui, Yin Ling, Shi Wenwen