Get organized and avoid a "data disaster"! This workshop provides basic strategies and best practices for effectively managing research data to ensure its organization and accessibility. Topics covered include: funder and journal requirements for data management and sharing, standards for file naming and structure, resources for data management planning and sharing, and strategies for storing data during research and preserving it for the future.

Wrangling. Munging. Data Sanitation. These and other names describe an aspect of the data analysis life cycle typically thought of as boring and unglamorous, but which occupies the majority of time spent during a data analysis project. The time you spend in preparing your data for analysis, while crucial, cuts into the time available for using software to produce a visualization, calculate a statistic, or run a favorite machine learning algorithm. The goal of this seminar is to provide a reproducible workflow for performing your own data wrangling. I will suggest methods to help you to: 1) get to know your data, 2) cultivate habits that will help you to spend less time on wrangling, and 3) optimally prepare your data for the output you're interested in producing.

Researchers, do you have an upcoming grant application that requires you to write a data management or data sharing plan? Are you striving to maintain well-organized research projects? In this workshop, we will cover the components of good data management plans with a particular eye toward NIH data sharing requirements. Participants will also be introduced to DMPTool, an online platform which provides plan templates and guidance from most major funders. Additionally, we will be providing participants with time during the workshop to work on plans for their own projects and ask questions and receive guidance from the instructors.