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Frictionless Data for Agriculture Research

Home Page: https://carpentries-incubator.github.io/frictionless-data-agriculture/

License: Other

Ruby 0.86% Makefile 8.63% R 8.62% Shell 0.88% Python 81.00%
agriculture frictionless-data data-management python lesson carpentries-incubator pre-alpha english

frictionless-data-agriculture's Introduction

Frictionless Data for Agricultural Research

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Frictionless Data is a progressive framework for building data infrastructure. Frictionless can do:

  • data management
  • data integration
  • data flows

Frictionless allows users to describe data using a straightforward syntax. Frictionless describes a datasets as a collection of one or more data tables having rows and columns. Frictionless provides metadata to describe columns, tables and a dataset.

This lesson teaches the principles of Frictionless Data, and the basics of how to create, use and transform Frictionless data.

This lesson uses example data from Agricultural field experiments and is directly relevant to agricultural scientists and ecologists.

* To set the URL on GitHub, click the gear wheel button next to About on the right of the repository landing page. The lesson URL structure is https://carpentries-incubator.github.io/<repository-slug>: a repository at https://github.com/carpentries-incubator/new-lesson/ will have pages at the lesson URL https://carpentries-incubator.github.io/new-lesson/.

Contributing

We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.

We'd like to ask you to familiarize yourself with our Contribution Guide and have a look at the more detailed guidelines on proper formatting, ways to render the lesson locally, and even how to write new episodes.

Please see the current list of [issues][FIXME] for ideas for contributing to this repository. For making your contribution, we use the GitHub flow, which is nicely explained in the chapter Contributing to a Project in Pro Git by Scott Chacon. Look for the tag good_first_issue. This indicates that the maintainers will welcome a pull request fixing this issue.

Maintainer(s)

Current maintainers of this lesson are

  • Richard Ostler @richardostler

Authors

A list of contributors to the lesson can be found in AUTHORS

Citation

To cite this lesson, please consult with CITATION

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