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Add Library Carpentry lesson links #324

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Add Library Carpentry lesson links #324

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4 changes: 2 additions & 2 deletions topic_folders/workshop_administration/email_templates.md
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Expand Up @@ -10,7 +10,7 @@ Dear [ name ],

Thanks so much for inquiring about hosting a Carpentries workshop at [ site_name ]. Here's some background about our programs and how we run.

Software Carpentry (SWC), Data Carpentry (DC), and Library Carpentry (LC) are programs of The Carpentries (a fiscally sponsored project of Community Initiatives). All programs offer two day long workshops taught live in-person by a team of two trained instructors. Software Carpentry focuses on best practices in computational programming that help scientists and researchers be more effective with their work. Lessons are domain agnostic and use generic data. All Software Carpentry workshops always cover three core areas: shell scripting (bash), version control (Git), and a programming language (R or Python). Read more here (https://software-carpentry.org/lessons/). Data Carpentry has a similar foundation but focuses on the data lifecycle, from cleaning & organization to analysis & visualization. Lessons and the data they use are domain specific, with offerings in ecology/biology, genomics, geospatial data, and more in the works. Read more here (http://www.datacarpentry.org/lessons/ ). Library Carpentry workshops teach people working in library- and information-related roles how to apply concepts from software development fields in library tasks and identify and use best practices in data structures.
Software Carpentry (SWC), Data Carpentry (DC), and Library Carpentry (LC) are Lesson Programs of The Carpentries (a fiscally sponsored project of Community Initiatives). All programs offer two day long workshops taught live in-person by a team of two trained instructors. Software Carpentry focuses on best practices in computational programming that help scientists and researchers be more effective with their work. Lessons are domain agnostic and use generic data. All Software Carpentry workshops always cover three core areas: shell scripting (bash), version control (Git), and a programming language (R or Python). Read more here (https://software-carpentry.org/lessons/). Data Carpentry has a similar foundation but focuses on the data lifecycle, from cleaning & organization to analysis & visualization. Lessons and the data they use are domain specific, with offerings in ecology/biology, genomics, geospatial data, and more in the works. Read more here (http://www.datacarpentry.org/lessons/ ). Library Carpentry workshops teach people working in library- and information-related roles how to apply concepts from software development fields in library tasks and identify and use best practices in data structures. Read more here (https://librarycarpentry.org/lessons/).

All workshops have a standard fee of US$2500, plus any costs for instructor travel (which may include airfare, ground travel, hotel, and meals/incidentals).
You can read more about the costs and how to request a workshop here for Software Carpentry (https://software-carpentry.org/workshops/request/) and here for Data Carpentry (http://www.datacarpentry.org/workshops-host/).
Expand Down Expand Up @@ -50,7 +50,7 @@ A few questions to get started planning:

* Can you provide me with the dates you are interested in hosting the workshop? If you do not have an exact date at this time, that is ok. We can work with a date range. Please note that we require 2-3 months lead time to plan.

* Which curriculum would you like to have taught? For Software Caprentry Workshops, please identify if you would like R or Python as the programming language. You can read more about our Software Carpentry (https://software-carpentry.org/lessons) and Data Carpentry (https://datacarpentry.org/lessons/) lessons.
* Which curriculum would you like to have taught? For Software Caprentry Workshops, please identify if you would like R or Python as the programming language. You can read more about our Software Carpentry (https://software-carpentry.org/lessons), Data Carpentry (https://datacarpentry.org/lessons/) and Library Carpentry (https://librarycarpentry.org/lessons/) lessons.

* Please tell me a bit about your expected audience (their goals, background, etc.). This will help me recruit and prepare instructors.

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