For librarians that are interested in an actual list of skills and competencies, this supplemental list of competencies extracted from the literature that accompanies the Federer et al. Registration is open for the 2021 Library Carpentry "Give me six hours to chop down a tree and I will spend the first four sharpening the axe," as the . Library Carpentry introduces you to the fundamentals of computing and provides you with a platform for further self-directed learning. Library Carpentry @ University of Bergen: Sep 25-26, 2018 Training: Tidy Data in Spreadsheets. Background. 6. Efficient Data Carpentry - Efficient R Programming [Book] Background. Further, lessons are planned or already under development including a lesson about the Linked Open Data platform . After this course, learners will be able to: Explain terms, phrases, and concepts associated with data and software in libraries. It uses examples that are relevant to a wide range of library use cases, and is designed to be used as a prerequisite lesson for other Python based lessons that will be . Put the data up on the screen. Library Carpentry will introduce you to the fundamentals of computing and provide you with a platform for further self-directed learning. We encourage participants to bring their own laptops, but lab computers will be available. In order to reduce screen fatigue we divided the workshop into 4 half-days from 9:00am -12:30pm PST. Library Carpentry Workshop: Tidy Data for Librarians Library Carpentry Workshop: Tidy Data for Librarians 13 Dec 2019, 09:00 - 12:30. However, having said that, from what I am seeing from the community, I see us wanting to move these menus forward: 1/2 day OpenRefine w/ intro to LC; 1-day Intro to Data, Tidy Data, OpenRefine; 2-day Intro to Data, Shell, Git, OpenRefine Perfect if you have data you want to share but it's a bit messy. Implementing 'tidy data' principles. Creating tidy data as you collect it will make it much easier to analyze it later. Tweet Share. Library Carpentry: Python. Good data organization is the foundation of much of our day-to-day work in libraries. Data Carpentry is now a lesson program within The Carpentries, having merged with Software Carpentry in January, 2018. Library Carpentry: FAIR Data & Software Python 21 19 19 (5 issues need help) 1 Updated Apr 14, 2021. We taught the Library Carpentry Jargon Busting, Tidy Data, OpenRefine, Unix Shell, and Git/Github lessons. This workshop is focused on the libraries, and the curriculum will include: OpenRefine Introduction to Git Tidy Data Webscraping * better understand the use of software in research. - 9/20-21. Tidy Data. The lessons are taught spread over several weeks. Special attention will be paid to how data analysis tools have been used in recent projects within the humanities. )Level up your computational research skills by attending one or several of these remote Carpentries workshops offered from September 13 - 22, 2021. One value in each cell. 20 years after inventing the World Wide Web, Tim Berners Lee talks about a new 8; Open data in Newcastle Libraries. Tim Berners-Lee: The next Web of open, linked data. Unfortunately lots of existing data doesn't follow these rules. I would argue that to be badged Library Carpentry, a workshop must teach at least the following core lessons: Data intro. Topics include: Tidy Data (not to be confused with tidyr) - 9/13. Library Carpentry is a software skills training programme aimed at library and information professions. Tidy data for librarians . In the same way, data carpentry is the process of taking rough, raw, and to some extent randomly arranged input data and creating neatly organized and tidy data. A set of exercises to learn how to tidy up data . We found that the 4 half-days schedule made it much easier for learners to stay engaged. Posted On February 5, 2019. Data Carpentry Data Cleaning Data Science Data Visualization Geospatial Git Library Carpentry Maintenance Open Science Python QGIS R Software Carpentry SQL Tableau Tidy Data; Audience Tidy Data for Librarians . Use a package called tidyr. Topics covered: Using spreadsheet programs for data wrangling; We constantly evolve to advance UCLA's research, education, and public service mission by empowering and inspiring communities of scholars and learners to discover, access, create, share . Identify best practices in naming and structuring files. After this course, learners will be able to: Explain terms, phrases, and concepts associated with data and software in libraries; Identify best practices in naming and structuring files; Understanding drawbacks and advantages of using spreadsheet programs This week we are running the two courses below. Topics include: Tidy Data (not to be confused with tidyr)OpenRefineBash ShellIntroduction to SQLIntroduction to Git/GitHubR and Python (these workshops are concurrent, so choose one! This workshop will start at the beginning, teaching participants how to decide when to use an automated or computational approach, and breaking down jargon. Library Carpentry's aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain.The lessons below were designed for those interested in working with Library data in Spreadsheets. The Library Carpentry module 'Tidy data for librarians' is maintained by Jez Cope. For more information on what we teach and why, please see our paper "Library Carpentry: software skills training for library professionals". Library Carpentry The Library Carpentry module ' Tidy data for librarians ' is maintained by Tim Dennis, Thea Atwood, Sherry Lake, Erika Mias, Jez Cope. work effectively with IT and systems colleagues. The Library Carpentry sprint is part of the 2018 Mozilla Global Sprint, which will take place worldwide on 10-11 May, 2018.Check out our sprint entry on Mozilla Pulse.. For those new to the field, a sprint is like a hackathon - it is a way to get people working together to create, update or extend open projects like Library Carpentry. tidyr Fill-in Challenge. Tidy data for librarians. In order to maintain consistent quality and style in the Library Carpentry lessons, we have a community-driven set of expectations for what a good lesson should look like. Introduction to the concept of tidy data and how to use it in a spreadsheet. New Lesson Expectations. Prerequisites 15 Apr 2021, 09:30 - 13:00. Understanding software and digital data is becoming a new literacy By Phil Reed, Nilani Ganeshwaran, Jez Cope, Tim Dennis, Chris Erdmann, Silvia Di Giorgio, Tracy Teal The demand for Library Carpentry (LC) is increasing in many parts of the world. Library Carpentry Lesson - Tidy Data A set of exercises to learn how to tidy up data. The DataSquad is a team of students who support data related projects at UCLA. Their goal is to empower people in these roles to use software and data in their own work and to become advocates for and train others in efficient . One column per type of information. For more information on what we teach and why, please see our paper "Library Carpentry: software skills training for library professionals". Library Carpentry's aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. NITC-ED-854 January 2018. Library Carpentry: Data and Software Workshop for Public Librarians NH Library Carpentries Group. Each word says something about perceptions towards the process: data processing is often seen as dirty work, an unpleasant necessity that must be endured before the real, fun and important . Most librarians have data or do data entry in spreadsheets. Our mission is to facilitate data processes for sustainable, replicable, and reproducible research, teaching, and workflows. Library Carpentry is a software skills training programme aimed at library and information professions. NITC is a U.S. Department of Transportation During the latter half of the workshop series the . OpenRefine. Tidy data introduces best practices for working with data in spreadsheets. Library Carpentry: tidy data for librarians (pre-conference) Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending! Download the software and dataset, do activities and watch videos to guide you through the lessons. Based on these responses, as well as experience from the 2017 Library Carpentry workshop, we chose to teach: Data intro for librarians UNIX shell Tidy data for librarians SQL for librarians A portion of the instructor team was recruited from those participants from the 2017 workshop, based on interest in teaching the planned material. Library Carpentry introduces you to the fundamentals of computing and provides you with a platform for further self-directed learning. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. Learning the skill of data carpentry early will yield benefits for years to come. Introduction to the concept of tidy data and how to use it in a spreadsheet. US National Lab; Data Carpentry in 2011 by Dr. Tracy Teal Researchers were needing to learn how to code and work with data "on the job" "Carpentry" means "the basics" Like learning how to nail two boards together or put up a wall straight. Library Carpentry: Unix Shell The Unix shell has been around longer than most of its users have been alive. Library Carpentry Love Data Week Open Refine Open Science Open Science Framework Python QGIS R Reproducible Research Software Carpentry SQL Tableau Tidy Data; Audience . Leave a Reply You must be logged in to post a comment. The Carpentries teaches skills that are immediately useful for researchers, using lessons and datasets that allow researchers to quickly apply what they have learned to their own work. Fill in the missing pieces of the following code to generate a tidy data table. Do the exercise on Improving Messy Data. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data. It has survived so long because it's a power tool that allows people to do complex things with just a few keystrokes. Introduction to Git/GitHub 9/17. The NNLM SEA is pleased to host an online Library Carpentry workshop on March 25 th - 26 th 2021.. Library Carpentry focuses on building software and data skills within library and information-related communities. These should guide the review process at steps 5 and 8 above. Enter dplyr.dplyr is a package for helping with tabular data manipulation. This workshop series will introduce 'Tidy Data,' OpenRefine, UNIX Shell, and Python. In addition, you will need an up-to-date web browser. Software and data skills for people working in library- and information-related roles - Library Carpentry. Library Carpentry is made by librarians, for librarians to help you: automate repetitive, boring, error-prone tasks. This is the first time a Library Carpentry workshop is held in Singapore. Tidy data for librarians. R and Python (these workshops are concurrent, so choose one!) For more information on what we teach and why, please see our paper "Library Carpentry: software skills training for library professionals". The workshop session topics are: January 22, Tidy Data and Regular Expressions. In addition to the tidy data, regular expressions, and OpenRefine lessons, Library Carpentry has a core curriculum designed to run over two days (though you can split these into four parts or half-days). Topics covered: Data manipulation using dplyr and tidyr. Remember the basic rules of tidy data structure. General Information. Your lesson is now part of stable Library Carpentry! One row per observation. We are excited about using the Library Carpentry curriculum to help us become more efficient in our work. Topics covered: Using spreadsheet programs for data wrangling; 6 May 2021, 09:30 - 13:00. better understand the use of software in research. Suggest a learning resource that you like The tidyverse package is an "umbrella . Spreadsheets programmes like Excel can be used to structure data but give a lot of freedom to do it inefficiently. Our goal is to empower people in these 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. Expression of Interest to Attend Library Carpentry Online Workshop(S) Organised by Monash University Malaysia Library Announcements / June 24, 2020 July 27, 2020 Monash University Malaysia Library and Learning Commons will be organizing its first Library Carpentry Workshops (online) on the following dates. Organising, developing and delivering Library Carpentry workshops presents many challenges, some of which are more common in LC than in the other Carpentries programmes. Data Carpentry's focus is on the introductory computational skills needed for data management and analysis in all domains of research. It builds on the work of Software Carpentry and Data Carpentry. Explore basic and advanced techniques for working with data, including formatting and joining data sets at Excel for Research. There are many words for data processing. . FINAL REPORT. Library Carpentry's aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain.The lessons below were designed for those interested in working with Library data in Spreadsheets. Newcastle Libraries talk about their experiences of opening up their data, and 3; Library Carpentry Lesson - Tidy Data. SQL. Library Carpentry introduces you to the fundamentals of computing and provides you with a platform for further self-directed learning. SQL, Git, Webscraping, etc., to suit their audience. Restructure tables with messy data. March 26, The Unix Shell. You can clean, hack, manipulate, munge, refine and tidy your dataset, ready for the next stage, typically modelling and visualisation. create, maintain and analyse sustainable and reusable data. Library Carpentry is a lesson programme of the not-for-profit organisation "The Carpentries" that aims to develop "[s]oftware and data skills for people working in library - and information-related . The MALIS (Master in Library and Information Science) study course offers the elective course "Data Science / Practical IT") which builds upon three Library Carpentry lessons namely the Unix Shell , Introduction to Git and Introduction to Python. Lessons are also made available online (CC BY, published via GitHub Pages) for self-directed study or for adaptation and reuse by library professionals. Introduction to SQL - 9/16. Library Carpentry focuses on building software and data skills within library and information-related communities. As part of the membership, the Libraries and TDAI have the ability to designate individuals to receive Carpentries instructor training and certification. Give yourself around 2 1/2 hours to complete the workshop. It pairs nicely with tidyr which enables you to swiftly convert between different data formats for plotting and analysis.. Let's start by looking at some messy data and thinking about what makes it messy and what we could do to improve it. by Nancy K. Herther. For the Tidy Data lesson, you will need a spreadsheet program and to download the exercise data. This workshop will teach "tidy" data practices, structuring data in a machine-readable way to maximize the utility of the data. Background Library Carpentry is a software skills training programme aimed at library and information professions. Spreadsheets programms like Excel can be used to structure data but give a lot of freedom to do it inefficiently. Each dataset shows the same values of four variables country, year, population, and cases, but each dataset organises the values in a different way. Good data organization is the foundation of any research project. This lesson is an introduction to programming in Python for librarians with little or no previous programming experience. For more information on what we teach and why, please see our paper "Library Carpentry: software skills training for library professionals". Bracket subsetting is handy, but it can be cumbersome and difficult to read, especially for complicated operations. Their goal is to empower people in these 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. Their goal is to empower people in these 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. It builds on the work of Software Carpentry and Data Carpentry. It uses examples that are relevant to a wide range of library use cases, and is designed to be used as a prerequisite lesson for other Python based lessons that will be . Library Carpentry: A Toolkit for Researchers. Introduction to Data Science for Transportation Researchers, Planners, and Engineers. Training takes place in face-to-face workshops where one or more of the 'stable' lessons are taught. Our lessons are domain-specific, and build on the existing knowledge of learners to enable . 6 May 2021, 09:30 - 13:00. Library Carpentry. Library Carpentry workshops are an excellent professional development opportunity for anyone interested in enhancing their data-related research or professional skills. . Library Carpentry. This week we are running the two courses below. This workshop will teach "tidy" data practices, structuring data in a machine-readable way to maximize the utility of the data. Cleaning, organising and preparing data for analysis. Library Carpentry is made by librarians, for librarians to help you: automate repetitive, boring, error-prone tasks. Tidy Data, and FAIR. To participate in a Library Carpentry workshop, you will need access to software as described below. . Tidy data is data that is well designed for working with using computers. Extracting and using a script to automate wrangling on similar data. Library Carpentry introduces you to the fundamentals of computing and provides you with a platform for further self-directed learning. This workshop introduces attendees to the Unix Shell. Library Carpentry introduces you to the fundamentals of computing and provides you with a platform for further self-directed learning. Their goal is to empower people in these roles to use software and data in their own work and to become advocates for and train others in efficient, effective, and reproducible . The UCLA Library creates a vibrant nexus of ideas, collections, expertise, and spaces in which users illuminate solutions for local and global challenges. UC Riverside is joining UCLA, UC San Diego, and UC Berkeley to offer two weeks of Carpentries workshops. Library Carpentry: Python. The programme focuses on building software and data skills within library and information-related communities, and aims to help you to: automate repetitive, boring, error-prone tasks create, maintain and analyse sustainable and reusable data work effectively with IT and systems colleagues better understand the use of software in research Workshop hosts could then pick and choose other modules from the Stable, Beta and Alpha lessons, e.g. Library Carpentry is software and data skills training aimed at the needs and requirements of library professionals. Important tidyr functions: gather() separate() Gapminder data time series is stored cross-tabulated. Shell. Library Carpentry introduces you to the fundamentals of computing and provides you with a platform for further self-directed learning. The curriculum will include: Introduction to Data; OpenRefine; Tidy data for librarians Need to convert them to this tidy structure for analysis. (2020) article is a place to start thinking about your data librarian persona.. To think broader than the library, here is a list of post-doctoral set of research competencies that overlap . Please find setup instructions in the lesson. Data Carpentry's aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. Good data organization is the foundation of any research project. The example below shows the same data organised in four different ways. Library Carpentry focuses on building software and data skills within library- and information-related communities. It builds on the work of Software Carpentry and Data Carpentry. The NNLM Region 1 is pleased to announce it will be hosting a virtual Library Carpentry workshop this fall November 3-4, 2021.. Library Carpentry focuses on building software and data skills within library and information-related communities. University of Sussex digital historian James Baker believes that " [l]ibrarians play a crucial role in cultivating world-class research and in most disciplinary areas today world-class research relies on the use of software.". Data Carpentry workshops are for any researcher who has data they want to analyze, and no prior computational experience is required. 12.2 Tidy data. Members of the DataSquad do not create, interpret, analyze, dictate, or otherwise change the nature of data sets outside of the prescribed task.