Versioning Data Is About More than Revisions: A Conceptual Framework and Proposed Principles Cover

Versioning Data Is About More than Revisions: A Conceptual Framework and Proposed Principles

Data Science Journal

Volume 20 (2021): Issue 1

By: Jens Klump , Lesley Wyborn , Mingfang Wu , Julia Martin , Robert R. Downs and Ari Asmi

Open Access

|Mar 2021

Authors

Jens Klump

jens.klump@csiro.au

Mineral Resources Business Unit, Commonwealth Scientific and Industrial Research Organisation, Perth

Lesley Wyborn

lesley.wyborn@anu.edu.au

National Research Computational Infrastructure, Australian National University, Canberra

Mingfang Wu

mingfang.wu@ardc.edu.au

Australian Research Data Commons, Melbourne

Julia Martin

julia.martin@ardc.edu.au

Australian Research Data Commons, Canberra

Robert R. Downs

rdowns@ciesin.columbia.edu

Center for International Earth Science Information Network (CIESIN), The Earth Institute, Columbia University

Ari Asmi

ari.asmi@helsinki.fi

Institute of Atmospheric and Earth System Sciences, University of Helsinki, Helsinki

DOI: https://doi.org/10.5334/dsj-2021-012 | Journal eISSN: 1683-1470

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Language: English

Submitted on: Jul 17, 2020

Accepted on: Jan 15, 2021

Published on: Mar 23, 2021

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

Data Versioning,

Reproducibility,

© 2021 Jens Klump, Lesley Wyborn, Mingfang Wu, Julia Martin, Robert R. Downs, Ari Asmi, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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