Preprint Article Version 3 This version is not peer-reviewed

Innovative Data Management in Advanced Characterization: Implications for Materials Design

Version 1 : Received: 21 March 2019 / Approved: 21 March 2019 / Online: 21 March 2019 (13:51:25 CET)
Version 2 : Received: 25 March 2019 / Approved: 26 March 2019 / Online: 26 March 2019 (10:59:27 CET)
Version 3 : Received: 11 April 2019 / Approved: 12 April 2019 / Online: 12 April 2019 (20:48:02 CEST)

How to cite: Romanos, N.; Kalogerini, M.; Koumoulos, E.P.; Morozinis, A.; Sebastiani, M.; Charitidis, C. Innovative Data Management in Advanced Characterization: Implications for Materials Design. Preprints 2019, 2019030205 (doi: 10.20944/preprints201903.0205.v3). Romanos, N.; Kalogerini, M.; Koumoulos, E.P.; Morozinis, A.; Sebastiani, M.; Charitidis, C. Innovative Data Management in Advanced Characterization: Implications for Materials Design. Preprints 2019, 2019030205 (doi: 10.20944/preprints201903.0205.v3).

Abstract

This paper describes a novel methodology of data management in materials characterisation, which has as starting point the creation and usage of Data Management Plan (DMP) for scientific data in the field of materials science and engineering, followed by the development and exploitation of ontologies for the harnessing of data created through experimental techniques. The case study that is discussed here is nanoindentation, a widely used method for the determination and/or modelling of mechanical properties on a small scale.The same methodology can be applicable to a large number of techniques that produce big amount of raw data, while at the same time it can be invaluable tool for big data analysis and for the creation of an open innovation environment, where data can be accessed freely and efficiently.Aspects covered include the taxonomy and curation of data, the creation of ontology and classification about characterization techniques, the harnessing of data in open innovation environments via database construction along with the retrieval of information via algorithms. The issues of harmonization and standardization of such novel approaches are also critically discussed.Finally, the possible implications for nanomaterial design and the potential industrial impact of the new approach are described and a critical outlook is given.

Supplementary and Associated Material

http://www.oyster-project.eu: H2020 European Project OYSTER

Subject Areas

characterisation; materials; ontology; data; metadata; nanoindentation

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.