Furxhi Irini, Arvanitis Athanasios, Murphy Finbarr, Costa Anna, Blosi Magda
Transgero Limited, Cullinagh, Newcastle West, V42V384 Limerick, Ireland.
Department of Accounting and Finance, Kemmy Business School, University of Limerick, V94T9PX Limerick, Ireland.
Nanomaterials (Basel). 2021 Jun 8;11(6):1520. doi: 10.3390/nano11061520.
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.
在本文中，我们描述了在多学科的“地平线2020”纳米技术项目“纳米产品开发设计阶段的安全问题预判”（ASINA）中启动、设计和实施数据管理计划（DMP）以及数据FAIR化过程的务实方法。我们简要描述了DMP的一般要求，强调朝着数据FAIR化方向迈出的初始步骤必须以系统的方式进行概念化和可视化。我们展示了如何使用通用问卷从我们的联盟（数据创建者/实验人员和数据分析人员/建模人员）中获取原始数据和元数据描述。然后，我们展示了与外部FAIR数据倡议（数据策展人/质量评估人员）在数据和元数据捕获指导以及未来整合到存储库方面的互动过程。在形成初步的数据捕获和FAIR化模板后，合作伙伴之间开始内部沟通流程，这导致开发特定案例的模板。本文通过提供一个路线图（以ASINA项目为例进行展示），帮助未来参与任何项目中多方面数据管理过程的数据创建者、数据分析人员、管理者和负责人。
