Experimental Research Data Quality in Materials Science

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.