Data Shepherding in Nanotechnology. The Initiation
Autor: | Finbarr Murphy, Magda Blosi, Athanasios Arvanitis, Anna Luisa Costa, Irini Furxhi |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Process (engineering)
Computer science General Chemical Engineering media_common.quotation_subject Data management Metadata description Nanotechnology 02 engineering and technology Article Multidisciplinary approach data stewardship General Materials Science Quality (business) QD1-999 media_common data shepherd FAIR nanotechnology business.industry 05 social sciences Data management plan 021001 nanoscience & nanotechnology Metadata Chemistry New product development data management 0509 other social sciences 050904 information & library sciences 0210 nano-technology business |
Zdroj: | Nanomaterials, Vol 11, Iss 1520, p 1520 (2021) Nanomaterials Volume 11 Issue 6 |
ISSN: | 2079-4991 |
Popis: | 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. |
Databáze: | OpenAIRE |
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