The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/21399975

L. (Luc) Steinbuch; Cindy Quik (2022): Workshop FAIR Data and Data Reuse for Environmental Science Group Researchers. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21399975.v1

Dataset

• Other Environmental Sciences
• Library and Information Studies
• Teaching and Instruction

Data sharing, reproducibility, scientific transparency

CC BY-NC 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by L. (Luc) Steinbuch , Cindy Quik

We designed and organized a one-day workshop, where in the context of FAIR the following themes were discussed and practiced: scientific transparency and reproducibility; how to write a README; data and code licenses; spatial data; programming code; examples of published datasets; data reuse; and discipline and motivation. The intended audience were researchers at the Environmental Science Group of Wageningen University and Research. All workshop materials were designed with further development and reuse in mind and are shared through this dataset.

• 2022-10-31 first online, published, posted

4TU.ResearchData

.pdf, MS-Office, .txt

• This project was funded by the WUR Data Science & Artificial Intelligence Fellowship Program 2022

Soil Geography and Landscape Group, Wageningen University & Research