FAIR packaging of experimental materials datasets
This service helps users prepare experimental materials datasets for publication, citation and reuse. It focuses on structuring raw and processed experimental data, documenting methods and instruments, preparing README files, metadata records and repository-ready FAIR data packages.
What the user gets
Users receive guidance on how to organise experimental data files, describe instruments and measurement conditions, prepare metadata, document data processing steps, select a licence and prepare a dataset package for deposit in DataverseUA, Zenodo or another suitable repository.
Service category: Data and FAIR Service
Hosting partner: Kyiv Academic University
Related node / facility: FAIR Data Competence Center for Digital Materials Research
Resources used
- Computational materials dataset profile
- Experimental materials characterization profile
- Technology/process dataset profile
- README template for experimental materials datasets
- DMP template for RI users
- FAIR checklist for materials datasets