uc-ospo-logo COLASC May 25 UC OSPO https://ucospo.net/ What is an OSPO? Office to manage and support open source software (OSS) at an institution. Enhances research, teaching, and community engagement through open source. Who Benefits?

UC OSPO Education Program Tim Dennis, Todd Grappone, Emily Lovell, Nick Ulle, David Minor, Reid Otsuji Today's Agenda digraph { Agenda [label="Today's Agenda", shape=box, style=filled, fillcolor=lightblue] Persona [label="Learner Personas Update", shape=ellipse] Patterns [label="Emerging Patterns", shape=ellipse] Curriculum [label="Curriculum Overview", shape=ellipse] Discussion [label="Open Discussion", shape=ellipse]

Finding Data Tim Dennis, Director of Library Data Science Center Stats 15: Introduction to Data Science, Dr. Gould These notes: https://hackmd.io/@timdennis/H16PoWqCC This presentation will cover: Key concepts and terms used in data scholarship (e.g., DOI, data citation). Important tools and resources for finding datasets. Best practices for evaluating data quality.

Library Carpentry - Open Refine Exercises Exercise 1: Download data: Go to https://raw.githubusercontent.com/data-lessons/library-openrefine/gh-pages/data/doaj-article-sample.csv. Right click anywhere on the screen and choose Save As … The filename is doaj-article-sample.csv and it should be saved to Desktop. Exercise 2: Create project Open OpenRefine. Click Create project then Choose File. Select doaj-article-sample.csv and then click Next. In the Parse text section, ensure separators are commas and first line is being parsed as a header. Then click Create project. Exercise 2 (Alternate): Create project from web address Open OpenRefine: typically located here: http://127.0.0.1:3333

Collaborative Lesson Development! slides: https://hackmd.io/@timdennis/HJs_6ysOR Welcome! Congratulations 🎉 on your lesson proposal being selected for the Lessons for Librarians in Open Science Who are we? Tim Dennis :fleur_de_lis: , Program Director Zhiyuan Yao :world_map:, Program Coordinator

Data Science Center Organization %%{init: {'themeVariables': { 'fontSize': '20px', 'nodeBorderWidth': '3px', 'nodeSpacing': '150', 'rankSpacing': '100'}}}%% graph LR classDef defaultStyle fill:#f9f,stroke:#333,stroke-width:4px,font-size:20px, padding:20px; AUL("AUL Data, Scholarship and Collections") -->|Oversees| DSC("Director of the Data Science Center") DSC -->|Oversees| DISR("Data Infrastructure for Scholarly Research") DISR -->|Manages| DV("UCLA Dataverse") DISR -->|Manages| RD("Redivis") DISR -->|Manages| PT("Potree (3D Data Visualization)")

Library Data Science Center Room 21536, Young Research Library datascience@ucla.edu Support Request: https://goo.gl/forms/xKsELsoVa1SJaUq72 These Slides: https://hackmd.io/p/Bk0MPnqjX# Data Science Center DSC webpage

Data Science Center Organization Chart // Inspired by // https://stackoverflow.com/a/7374543/180275 digraph ORG { ranksep=0.2; node[shape=box width=2.3 height=0.6 fontname="Arial"];

Tidy Tues :heartpulse: Data Week Who are we? Tim Dennis, Director Library Data Sci Center (DSC), UCLA Leigh Phan, Data Scientist, Library Data Sci Center (DSC), UCLA Reid Otsuji, Data Curation Specialist and Faculty Liaison Librarian for Research Data Curation, UCSD What is Tidy Tuesday A weekly data project for the R community. The goal of TidyTuesday is to apply your R skills, get feedback, explore other’s work, and connect with the greater #RStats community! We encourage everyone of all skills to participate!

UC - Collaborative Carpentries slide content from: UC Libraries Forum Preso https://bit.ly/UCCollab Why? Local workshops have a small pool of instructors and in-person workshop attendance is limited to about ~30 students at a time In person workshops usually fill up quickly and have large waitlists Putting on a workshop is very time intensive Shift to entirely virtual instruction beginning March 2020 This allowed more instructors from other campuses to teach without needing to travel

Version control w/the Command Line Git and GitHub BITSS Research Transparency and Reproducibility Training Tim Dennis (UCLA) I am the Director of Library Data Science Center at UCLA I am also a Carpentries instructor Slides: https://hackmd.io/@timdennis/HJ0a0nuBD Etherpad: https://pad.carpentries.org/2021-rt2

Create a Repository Login to GitHub: https://github.com/ On https://github.com/ click on the + button, top right corner Name the repository "hello-world" GitHub will ask if you want to add a README.md, license or a .gitignore file. Do not do any of that for now. Undoing Commits & Changes What questions are there from the first part?

The Data Science Center's mission is to foster a welcoming research community by developing data literacy and foundational coding skills through consulting and education. We support researchers & students throughout the full data life cycle of activities: planning research projects and data management plans; data acquisition, storage, cleaning, and usage; analysis; publication; curation; and preservation. We: Provide support for full data science life-cycle Build data science infrastructure that promotes sharing, data use and life-cycle management Provide support for computational reproducibility and discovery Deliver & contribute to data science instructional and curricula support Provide support and referrals for researchers needing to work at scale computationally (beyond the laptop)

California Libraries Carpentries Meetup These slides: https://hackmd.io/@timdennis/cali-carps View mode: https://hackmd.io/xA426D4XQuasjNRqKq7X2A?view Today: Contributing to existing lessons Lesson Development Carpentries Incubator

Drivers for Openness Serial crisis Technology Replication Crisis Transparency (Open Research) Public scrutiny Value for money Open Scholarship ==

Accessing Databases via Web APIs What is an API? API stands for Application Programming Interface a set of rules and procedures that facilitate interactions between computers and their applications Note: We can consider an API a set of rules and procedures that allow computers to interact with applications

Register for the New York Times API Steps are here: https://developer.nytimes.com/get-started But you will be: Creating an account (if you don't have one already) at https://developer.nytimes.com/ After you are logged in, starting from https://developer.nytimes.com/, navigate to https://developer.nytimes.com/my-apps Add new app Add a name for your app, e.g. 'ucla api workshop' Select Enable by the Article search API Select generate

Intro to Python for Librarians! slide: https://hackmd.io/@timdennis/lc-python#/ Etherpad Please use the Etherpad to take notes/share code, ask questions and explore https://pad.carpentries.org/2021-ucla-python Why are we here?

slides: https://hackmd.io/p/SJhSRzUo4#/ Who are we? Why Git/GitHub? Code & data sharing and collaboration Democratic databases: science on GitHub Scientists are turning to a software–development site to share data and code

Jargon Busting (20-30 min total, 5 min in breakout room) This exercise is an opportunity to gain a firmer grasp on the concepts around data, code or software development in libraries. We'll group you into breakout rooms of 3-4. Select someone in your room to take notes in the etherpad for your group. Talk for three minutes on any terms, phrases, or ideas around code, data or technical aspects of development in libraries that you've come across and perhaps feel you should know better. Each group adds 3 terms, phrases or ideas to the class etherpad. Feel free to provide definitions or explanations on other groups terms if you are knowledgeable about them. (The idea is we can build a glossary for the class). The instructors will group the terms on the etherpad and facilitate a discussion about what we will cover today and where you can go for help on those things we won't cover.