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Data Shepherding in Nanotechnology. The Exposure Field Campaign Template
Irini Furxhi1,2, Antti Joonas Koivisto3,4,5, Finbarr Murphy1,2
1Transgero Limited, Cullinagh, Newcastle West, V42V384 Limerick, Ireland.
Nanomaterials (Basel, Switzerland)
|August 7, 2021
Summary
This study presents a pragmatic template for nanomanufacturing field data collection, adhering to FAIR principles (Findable, Accessible, Interoperable, Reusable). The template streamlines data management for researchers and data shepherds in nanotechnology projects.
Area of Science:
- Nanotechnology
- Data Science
- Scientific Data Management
Background:
- Effective data capture is crucial for nanomanufacturing research.
- Existing data templates may not fully support FAIR principles.
- Standardization is needed for interoperability and reusability of nanomanufacturing data.
Purpose of the Study:
- To develop a pragmatic template for capturing field monitoring data in nanomanufacturing.
- To ensure the developed template adheres to FAIR data principles.
- To facilitate data interoperability and reusability within nanotechnology projects.
Main Methods:
- Stakeholder identification and needs assessment.
- Questionnaire distribution for data description.
- Iterative communication for variable selection.
- Template design and descriptor annotation.
Main Results:
- A novel, annotated template for exposure field campaign monitoring data was created.
- The template promotes FAIR data principles, enhancing data findability, accessibility, interoperability, and reusability.
- Comparison with existing templates highlights improved interoperability and pragmatic structure.
Conclusions:
- The developed template offers a practical solution for FAIR data capture in nanomanufacturing.
- It simplifies template creation for data shepherds and benefits the broader scientific community.
- The template supports the ASINA (Anticipating Safety Issues at the Design of Nano Product Development) project by improving data management practices.
