DataLab Workshop: ReadME, Write Me! 2021-03-04

From Glenda Gaines April 12, 2024

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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.

The copyright on this video is owned by the Regents of the University of California and is licensed for reuse under the Creative Commons Attribution 4.0 International (CC BY 4.0) License.

Tags: readmereproducible researchdata sciencedatalabdatalab eventdatalab workshop

Appears In: UC Davis DataLab: Data Science and Informatics Information and Educational Technology Library Research Graduate Studies Computer Science

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DataLab Workshop: ReadME, Write Me! 2021-03-04

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