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InteractiveResource . 2024
License: CC BY SA
Data sources: ZENODO
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InteractiveResource . 2024
License: CC BY SA
Data sources: Datacite
ZENODO
InteractiveResource . 2024
License: CC BY SA
Data sources: Datacite
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morskyjezek/bagit-walkthrough-lcwa: Using BagIt Tutorial v1.1

Authors: Jesse Johnston;

morskyjezek/bagit-walkthrough-lcwa: Using BagIt Tutorial v1.1

Abstract

This is a tutorial for digital curators (librarians, archivists, and other information professionals) about understanding and using the BagIt file packaging standard. The tutorial was designed to focus on how the BagIt structure may be used in digital preservation and curation contexts. The tutorial introduces BagIt, its basic structure, and possible uses; then, the tutorial also offers blank and worked Jupyter notebooks that illustrate how BagIt can be created and managed with Python-based tools and workflows. Creator orcID: 0000-0003-2617-0166

Related Organizations
Keywords

python, tutorial, digital-curation, bagit

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average