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glosario

glosario is an open source glossary of terms used in data science that is available online. By adding glossary keys to a lesson's metadata, authors can indicate what the lesson teaches, what learners should know before they start, and where they can find that knowledge. Authors can also use the library's functions to insert consistent hyperlinks for terms and definitions in their lessons in several (human) languages. You can find the glossary here: https://glosario.carpentries.org/

Table of Contents

Contributing

To advance data science knowledge and accessibility for our diverse community, we have developed Glosario, a multilingual glossary of data science terms. The easiest way to contribute is to use our Google Form, which does not require any technical experience.

If you are comfortable using GitHub, you can also contribute there. You do not need to know any programming language β€” a basic familiarity with the GitHub web interface is sufficient. We have prepared a detailed and accessible guide to assist you. To support contributors further, we have also created short YouTube videos demonstrating how to contribute:

Contributions are welcome in any language, not only those currently represented in the glossary. If you need help with your contribution, you can ask questions in the #glosario Slack channel or email us at community@carpentries.org. If you are not yet a member of The Carpentries Slack, you may request access here.

Structure of Glossary

Any site where glossary URLS resolve can be used as a glossary. This project implements a glossary of data science and data engineering terms as a working model.

  1. The master copy of the glossary lives in glossary.yml. Its format is described below.
  2. This file is turned into a single-page GitHub Pages site using Jekyll.
  3. It is also turned into a Python package called glosario and an R package with the same name.

A glossary entry is structured like this:

- slug: cran
  ref:
    - base_r
    - tidyverse
  en:
    term: "Comprehensive R Archive Network"
    acronym: "CRAN"
    def: >
      A public repository of R [packages](#package).
  • The value associated with the slug key identifies the entry.
    • It must be unique within the glossary.
    • It must be in lower case and use only letters, digits, and the underscore (to be compatible with Jekyll's automatic slug creation).
    • It becomes the fragment identifier in the online version of the glossary.
  • The entry may have a ref key. If it is present, its value must be a list of identifiers of related terms in this glossary.
  • Every other top-level key must be an ISO 639 language code such as en or fr.
    • Every entry must have at least one such language section.
  • Within each language section for each term:
    • The value of term is the term being defined. This key must be present.
    • The key acronym is optional. If present, its value is the acronym for this term.
    • The value of def is the definition. This key must be present, and the value may contain local links to other terms in this glossary (i.e., links starting with #) and/or links to outside sources.

You can access the glossary.yml dataset and citation information by clicking on the following DOI badge: DOI

Funding and Collaborators

SADiLaR is one of the collaborators in the finalisation and expansion of the Glosario Project to African Languages. SADiLaR is a research infrastructure established by the Department of Science and Innovation of the South African government as part of the South African Research Infrastructure Roadmap (SARIR).

We are pleased to share that the Andrew W. Mellon Foundation approved a grant for use over 12 months (November 2023 through October 2024) to support an upgrade to Glosario. Additionally, further funding has been secured from the Foundation to continue developing this resource from January 1, 2025, through December 31, 2025.

Credits

Contributors

All Contributors

At The Carpentries, every contribution matters. Individuals help open source projects in many ways: writing guides, reviewing other people’s work, translating content, or sharing ideas. These contributions all take time and effort. We want to thank everyone who helps Glosario grow - not only those who write code but also those who support the project in other ways.

We now show credit for four types of contributions:

  • πŸ“– Documentation and Planning – Individuals who helped write the contribution guide, organise ideas, or plan how Glosario works.
  • πŸ‘€ Pull Request Reviewers – Individuals who read and gave feedback on new suggestions to improve the project.
  • πŸ’¬ Discussion Participants – Individuals who participated in conversations to help make decisions or solve problems.
  • 🌍 Translators – Individuals who translated words and meanings to make Glosario useful in many languages.
Angelique Trusler
Angelique Trusler

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FranΓ§ois Michonneau
FranΓ§ois Michonneau

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Greg Wilson

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Yanina Bellini Saibene

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Ian Flores Siaca

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Batool Almarzouq

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Charlie-George

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EveBigras

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Frances Turner
Frances Turner

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Genevieve Milliken
Genevieve Milliken

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Sarah Pohl
Sarah Pohl

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Marie Houillon

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MikeResearch
MikeResearch

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Adam Thompson-Sharpe

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elsikorski

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heidikarlsen

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Riva Quiroga

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Anna Sackmann
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Sarah Stevens
Sarah Stevens

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Thomas Guignard

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Toby Hodges
Toby Hodges

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Tyrica Terry Kapral
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Alexandre B A Villares
Alexandre B A Villares

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mariyaspatar

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sofiiamatios

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Oscar Masinyana

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Jose NiΓ±o

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Paola Corrales

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Sven van der Burg
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Abhishek Chakraborty
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Lia Ossanna

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JClokey

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Benson Muite
Benson Muite

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Francesco Tabaro
Francesco Tabaro

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Nico Scherf

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H Perry Hatchfield
H Perry Hatchfield

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Gorata Malose
Gorata Malose

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talyacooper

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Miguel Alvarez
Miguel Alvarez

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Jason Laird
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fraukero

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Benito
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Harry-Dolan
Harry-Dolan

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jesCodingHere

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Farzana Z Ali

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Ashwin V. Mohanan

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Diego Onna

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eddUG

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agully1
agully1

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Christian Meeßen
Christian Meeßen

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Cory Brunson
Cory Brunson

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Kari L. Jordan, PhD
Kari L. Jordan, PhD

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BONNY ADANE

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Jonah Duckles
Jonah Duckles

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Roberto Scotti
Roberto Scotti

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David Jones

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Talisha Sutton-Kennedy

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maneesha

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