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Data Quality in Materials Science: A Quality Management Manual Approach

机译:材料科学中的数据质量:质量管理手册

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Experimental research data in the materials science domain is often insufficiently described with regard to metadata and frequently displays an incoherent form of documentation. These circumstances often hinder current and future researchers significantly in reuse and comprehension of data. To support researchers during the archiving and provision of materials science research data (incl. supplementing material), a Quality Management Manual (QMM) approach as an established QM tool is proposed in this paper. Quality-assurance of experimental research data and the perpetuation of good scientific practice in provision and archiving research data are examined before the QMM approach is applied in a case study. The preliminary results indicate that QMM allows to provide practitioners basic guidelines which support integrity, availability and reusability of experimental research data in materials science for subsequent reuse.
机译:在材料科学领域,关于元数据的实验研究数据通常描述不充分,并且经常显示不连贯的文档形式。这些情况通常会严重阻碍当前和未来的研究人员重用和理解数据。为了支持研究人员在归档和提供材料科学研究数据(包括补充材料)过程中提供支持,本文提出了质量管理手册(QMM)方法作为已建立的QM工具。在将QMM方法应用于案例研究之前,将对实验研究数据的质量保证以及提供和归档研究数据的良好科学实践的持续性进行检查。初步结果表明,QMM可以为从业人员提供基本指南,以支持材料科学中的实验研究数据的完整性,可用性和可重用性,以供后续使用。

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