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ReadME, Write Me!
March 4 @ 10:00 am - 12:00 pm
Registration
Registration is required. You will receive a confirmation once you are accepted into the workshop and a communication with the workshop materials and Zoom links. This workshop is open to all members of the UC Davis community; DataLab Affiliates receive priority registration.
This workshop covers best practices for organizing and documenting your digital projects for robust, reproducible research. Topics covered will include data documentation, forms of metadata at both the data and project level, and best practices for organizing file directories and recording metadata. After this workshop learners will be able to create a readme for their data-driven project directory, design a data dictionary (or codebook) for a dataset, and describe how to use a workflow diagram to represent their data gathering, cleaning, and analyses methodology. This workshop will include a studio portion where learners are guided through putting the principles into practice to begin documenting their own research projects.
Before the workshop, participants should identify a data-driven research project they are actively working on and want to focus on building out documentation for. If you do not have a project a case study will be provided for you.
Prerequisites: This workshop is designed for learners with prior experience collecting or otherwise working with research data. No coding experience is required. All participants will need access to a computer with internet access and the latest version of Zoom.
Instructors:
Dr. Pamela Reynolds is DataLab’s Associate Director.
Victoria Farrar is a Ph.D. student in Animal Behavior Graduate Group and a Professors for the Future (PFTF) fellow. This workshop is part of her PFTF service project on “Data management training for transparent, reproducible science.”