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Global Community Guidelines for Documenting, Sharing, and Reusing Quality Information of Individual Digital Datasets Cover

Global Community Guidelines for Documenting, Sharing, and Reusing Quality Information of Individual Digital Datasets

Data Science Journal
Volume 21 (2022): Issue 1
By: Ge Peng,  Carlo Lacagnina,  Robert R. Downs,  Anette Ganske,  Hampapuram K. Ramapriyan,  Ivana Ivánová,  Lesley Wyborn,  Dave Jones,  Lucy Bastin,  Chung-lin Shie and  David F. Moroni  
Open Access
|Mar 2022

References

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DOI: https://doi.org/10.5334/dsj-2022-008 | Journal eISSN: 1683-1470
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Language: English
Submitted on: Jan 3, 2022
Accepted on: Feb 28, 2022
Published on: Mar 31, 2022
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
quality,
trust,
open-source science,
FAIR,
guidelines,
metadata

© 2022 Ge Peng, Carlo Lacagnina, Robert R. Downs, Anette Ganske, Hampapuram K. Ramapriyan, Ivana Ivánová, Lesley Wyborn, Dave Jones, Lucy Bastin, Chung-lin Shie, David F. Moroni, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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