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content/about-us/_index.md

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title: About us
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Library Carpentry develops and teaches workshops on the computational skills needed to efficiently handle and explore large volumes of information. Our mission is to empower people working in library- and information-related roles to use software and data in their own work and to become advocates for and train others in efficient, effective and reproducible data and software practices. The target audience of Library Carpentry is librarians and other information professionals with little to no previous experience with computational methods.
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Data has become accessible in greater volumes than ever before, and continues to grow in size and complexity. Librarians and others in information-related professions have an essential role to play in helping their communities overcome the obstacles that a flood of information can present, and to take advantage of the availability of so much data. Simultaneously, concepts and practices from software development and data science have the potential for tremendous impact in the work of libraries and other information-related communities. However, there exists a large gap between the need for these skills and the availability of training to provide them.
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Since 2014, Library Carpentry has been teaching people working in library- and information-related roles how to cut through the jargon of software development and data science, and apply concepts and methods from these fields to library tasks. Our hands-on workshops introduce best practices for using data structures to organise data and programmatic methods to explore it. After participating in one of our workshops, learners will be ready to work effectively with researchers, IT, and systems colleagues, and automate repetitive, error prone tasks. Most of our workshops are aimed at learners with little or no previous experience with software and data methods.
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[Since 2014]({{< param carpentries-website >}}/about-us/#our-history), Library Carpentry has been teaching people working in library- and information-related roles how to cut through the jargon of software development and data science, and apply concepts and methods from these fields to library tasks. Our hands-on workshops introduce best practices for using data structures to organise data and programmatic methods to explore it. After participating in one of our workshops, learners will be ready to work effectively with researchers, IT, and systems colleagues, and automate repetitive, error prone tasks. Most of our workshops are aimed at learners with little or no previous experience with software and data methods.
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A workshop can't teach you everything you need to know about software and data methods for information management and publication, however it drastically reduces the barrier to entry and imparts the skills for continued learning and engagement. Our ultimate goal is to enable impactful sharing of knowledge by creating strong information-related communities and empowering them to teach and promote efficient, effective and reproducible data and software practices.

content/lessons/_index.md

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title: Library Carpentry Lessons
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## Our Core Objectives
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Library Carpentry workshops teach people working in library- and information-related roles how to:
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- Cut through the jargon terms and phrases of software development and data science and apply concepts from these fields in library tasks;
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- Identify and use best practices in data structures;
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- Learn how to programmatically transform and map data from one form to another;
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- Work effectively with researchers, IT, and systems colleagues;
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- Cut through the jargon terms and phrases of software development and data science and apply concepts from these fields in library tasks.
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- Identify and use best practices in data structures.
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- Learn how to programmatically transform and map data from one form to another.
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- Work effectively with researchers, IT, and systems colleagues.
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- Automate repetitive, error prone tasks.
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- Lesson materials are all available online, under a CC BY license, for self-directed study or for adaptation and re-use (as "Carpentries-based" training).
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Lesson materials are all available online, under a CC BY license, for self-directed study or for adaptation and re-use (as "Carpentries-based" training).
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## Core Curriculum
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Our Core Curriculum consists of the lessons in the table below. These have been taught many times, and have been further refined after instructor and learner feedback. For more information regarding core lessons and workshops across The Carpentries, visit [The Carpentries workshops page]({{< param carpentries-website >}}/workshops).
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Our Core Curriculum consists of the lessons in the table below. These have been taught many times, and have been further refined after Instructor and learner feedback. For more information regarding core lessons and workshops across The Carpentries, visit [The Carpentries workshops page]({{< param carpentries-website >}}/workshops).
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The lessons introduce terms, phrases, and concepts in software development and data science, how to best work with data structures, and use regular expressions in finding and matching data. We introduce the Unix-style command line interface, and teach basic shell navigation, as well as the use of loops and pipes for linking shell commands. We also introduce grep for searching and subsetting data across files. Exercises cover the counting and mining of data. In addition, we cover working with OpenRefine to transform and clean data, and the benefits of working collaboratively via Git/GitHub and using version control to track your work.
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## Retired Curriculum
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The following Library Carpentry lessons are no longer maintained. There may be include out-of-date instructions or references but content in these lessons could still be useful. You may reach out to the Curriculum Advisory Committee if you are interested in restarting these lessons and becoming a new Maintainer.
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The following Library Carpentry lessons are no longer maintained. They may include out-of-date instructions or references but content in these lessons could still be useful. You may reach out to the [Curriculum Advisory Committee](/about-us/curriculum-advisors/) if you are interested in restarting these lessons and becoming a new Maintainer.
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{{< table >}}
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{{< lesson_table type="retired" >}}

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