Science Score: 31.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.5%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

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Created almost 3 years ago · Last pushed about 1 year ago
Metadata Files
Readme Contributing License Code of conduct Citation Authors

README.md

ATTENTION This is an experimental test of The Carpentries Workbench lesson infrastructure. It was automatically converted from the source lesson via the lesson transition script.

If anything seems off, please contact Zhian Kamvar zkamvar@carpentries.org

Library Carpentry

The Library Carpentry module 'Data Intro for Archivists' is maintained by Jeanine Finn, Katherine Koziar, and Scott Peterson (Past Maintainers: Jenny Bunn, Noah Geraci, and James Baker).

Background

Library Carpentry is a software skills training programme aimed at library and information professions. It builds on the work of Software Carpentry and Data Carpentry. 'Data Intro for Archivists' is a version of 'http://data-lessons.github.io/library-data-intro/' developed by the 2017 Mozilla Global Sprint.

Library Carpentry is in the commons and for the commons. It is not tied to any institution of person. For more information on Library Carpentry, see our website librarycarpentry.github.io.

Contribution

There are many ways of contributing to Library Carpentry:

Code of Conduct

All participants should agree to abide by the Software Carpentry Code of Conduct.

Authors

Library Carpentry is authored and maintained by the community.

Citation

Please cite as:

Library Carpentry. Data Intro for Archivists. June 2017. https://librarycarpentry.org/lc-data-intro-archives/.

Owner

  • Name: Carpentries Sandbox
  • Login: fishtree-attempt
  • Kind: organization
  • Email: zkamvar+fishtree@carpentries.org

Testing The Carpentries Workbench

Citation (CITATION)

Please cite as:

Library Carpentry. Data Intro for Archivists. June 2017. https://data-lessons.github.io/data-intro-archives/.

GitHub Events

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  • Push event: 11
Last Year
  • Push event: 11