Data Quality in Materials Science: A Quality Management Manual Approach - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2014

Data Quality in Materials Science: A Quality Management Manual Approach

Résumé

Experimentalresearch 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.
Fichier principal
Vignette du fichier
978-3-662-44739-0_6_Chapter.pdf (382.34 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01388206 , version 1 (26-10-2016)

Licence

Identifiants

Citer

Thorsten Wuest, Jakub Mak-Dadanski, Klaus-Dieter Thoben. Data Quality in Materials Science: A Quality Management Manual Approach. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2014, Ajaccio, France. pp.42-49, ⟨10.1007/978-3-662-44739-0_6⟩. ⟨hal-01388206⟩
123 Consultations
258 Téléchargements

Altmetric

Partager

More