Global Community Guidelines for Documenting, Sharing, and Reusing Quality Information of Individual Digital Datasets
Open-source science builds on open and free resources that include data, metadata, software, and workflows. Informed decisions on whether and how to (re)use digital datasets are dependent on an understanding about the quality of the underpinning data and relevant information. However, quality inform...
| Main Authors: | Peng, G., Lacagnina, C., Downs, R.R., Ganske, A., Ramapriyan, H.K., Ivanova, Ivana, Wyborn, L., Jones, D., Bastin, L., Shie, C.L., Moroni, D.F. |
|---|---|
| Format: | Journal Article |
| Published: |
2022
|
| Online Access: | http://hdl.handle.net/20.500.11937/90688 |
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