Data Shepherding in Nanotechnology. The Initiation
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Transgero Limited, Cullinagh, Newcastle West, V42V384 Limerick, Ireland
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Department of Accounting and Finance, Kemmy Business School, University of Limerick, V94T9PX Limerick, Ireland
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Department of Mechanical Engineering, Environmental Informatics Research Group, Aristotle University of Thessaloniki, Box 483, 54124 Thessaloniki, Greece
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Institute of Science and Technology for Ceramics, National Research Council of Italy (CNR-ISTEC), Via Granarolo 64, 48018 Faenza, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Fedor Jelezko
Nanomaterials 2021, 11(6), 1520; https://doi.org/10.3390/nano11061520
Received: 29 April 2021
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Revised: 25 May 2021
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Accepted: 7 June 2021
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Published: 8 June 2021
In this paper we describe the pragmatic approach of initiating, designing and implementing the Data Management Plan (DMP) and the data FAIRification process in the multidisciplinary Horizon 2020 nanotechnology project, Anticipating Safety Issues at the Design Stage of NAno Product Development (ASINA). We briefly describe the general DMP requirements, emphasizing that the initial steps in the direction towards data FAIRification must be conceptualized and visualized in a systematic way. We demonstrate the use of a generic questionnaire to capture primary data and metadata description from our consortium (data creators/experimentalists and data analysts/modelers). We then display the interactive process with external FAIR data initiatives (data curators/quality assessors), regarding guidance for data and metadata capturing and future integration into repositories. After the preliminary data capturing and FAIRification template is formed, the inner-communication process begins between the partners, which leads to developing case-specific templates. This paper assists future data creators, data analysts, stewards and shepherds engaged in the multi-faceted data shepherding process, in any project, by providing a roadmap, demonstrated in the case of ASINA.
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Keywords:
nanotechnology; data stewardship; data shepherd; FAIR; data management
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MDPI and ACS Style
Furxhi, I.; Arvanitis, A.; Murphy, F.; Costa, A.; Blosi, M. Data Shepherding in Nanotechnology. The Initiation. Nanomaterials 2021, 11, 1520. https://doi.org/10.3390/nano11061520
AMA Style
Furxhi I, Arvanitis A, Murphy F, Costa A, Blosi M. Data Shepherding in Nanotechnology. The Initiation. Nanomaterials. 2021; 11(6):1520. https://doi.org/10.3390/nano11061520
Chicago/Turabian StyleFurxhi, Irini, Athanasios Arvanitis, Finbarr Murphy, Anna Costa, and Magda Blosi. 2021. "Data Shepherding in Nanotechnology. The Initiation" Nanomaterials 11, no. 6: 1520. https://doi.org/10.3390/nano11061520
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