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.