3rd Annual Digital Data Conference, Yale: Difference between revisions

| colspan="4" style="text-align:left; vertical-align:top; background-color:#eed1a9;"|'''Workshop 2 - Basic Biodiversity Data Manipulation in R<br>Facilitator: Katelin Pearson <br>Location & Time: 9:00 a.m.-Noon'''<br>Not all of us entered biological research with the intent of learning to code, yet coding skills are increasingly crucial in our work. In this workshop, we will discuss and demonstrate basic workflows in working with biodiversity data in R, including downloading, cleaning, preparing, and analyzing data from iDigBio and GBIF. Basic data structure, useful functions, and tips and tricks will be addressed. Please indicate any specific questions or topics you would like to see covered during this session when you register. This is a hands-on workshop, so bring a laptop with R or R Studio already installed. The workshop leader will be demoing in R Studio.

| colspan="4" style="text-align:left; vertical-align:top; background-color:#eed1a9;"|'''Workshop 3 - Tools and Best Practices for Biodiversity Data Science: A Data Carpentries Introduction with Python<br>Facilitators: Holly Little, Deb Paul and Mike Trizna <br>Location & Time: 9:00 a.m.- 2:00 p.m.'''<br>The Carpentries (comprised of Data Carpentry, Library Carpentry, and Software Carpentry) is a project whose mission is to teach foundational computational and data science skills to researchers and others who create, manage, and use data. Specifically, Data Carpentry lessons are designed to be picked up by learners who do not have any previous programming experience. Data Carpentry workshops are typically organized in a 2-day format, but we will compress the lessons in this workshop to 1 day to focus on learning Python and Jupyter notebooks to work with data files in a reproducible manner. Before covering Python, we will go through a lesson using Excel to learn about the "tidy data" format, and best practices for working with tabular data files. We will also spend some time discussing community-building around the Carpentries, and how we can partner together to build biodiversity data science literacy at our organizations.