文章基本信息

标题：Experimental Research Data Quality in Materials Science
本地全文：下载
作者：Thorsten Wuest ; Rainer Tinscher ; Robert Porzel 等
期刊名称：International Journal of Advanced Information Technology
印刷版ISSN：2231-1920
电子版ISSN：2231-1548
出版年度：2014
卷号：4
期号：6
页码：1
DOI：10.5121/ijait.2014.4601
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In materials sciences, a large amount of research data is generated through a broad spectrum of differentexperiments. As of today, experimental research data including meta-data in materials science is oftenstored decentralized by the researcher(s) conducting the experiments without generally accepted standardson what and how to store data. The conducted research and experiments often involve a considerableinvestment from public funding agencies that desire the results to be made available in order to increasetheir impact. In order to achieve the goal of citable and (openly) accessible materials science experimentalresearch data in the future, not only an adequate infrastructure needs to be established but the question ofhow to measure the quality of the experimental research data also to be addressed. In this publication, theauthors identify requirements and challenges towards a systematic methodology to measure experimentalresearch data quality prior to publication and derive different approaches on that basis. These methods arecritically discussed and assessed by their contribution and limitations towards the set goals. Concluding, acombination of selected methods is presented as a systematic, functional and practical quality measurementand assurance approach for experimental research data in materials science with the goal of supportingthe accessibility and dissemination of existing data sets.
关键词：data quality; experimental research data; materials science; meta-data; quality measurement; continuous;exploitation