Data Management

Lectures

Data Management Part 1: Creating Reproducible Research

Sean Roberts discusses basic principles of data management, including the creation of reproducible research, general approaches to data tidying and data wrangling, commonly encountered issues in file encoding, and the importance of well-organized file structures.

Data Management Part 2: Project Management

Whereas Part 1 in this series discusses data management—such as organizing data, wrangling data, and so on—this segment discusses project management, including the management and organization of all the project files, such as manuscripts, manuscript revisions, figures, analysis scripts, presentations, and so on. Discusses the creation of README files, to-do lists and Kanban Boards, and offers general tips for successful project management.

Data Management Part 3: Git and Github

Sean Roberts discusses the use of Git and Github, including version control; collaboration, branching, and pull requests; and the use of Github for flagging issues and organizing discussions with collaborators.

Additional Reading

Chiarcos, C., Nordhoff, S., & Hellmann, S. (2012). Linked Data in Linguistics. Heidelberg: Springer.

Berez-Kroeker, A. L., McDonnell, B., Koller, E., Collister, L. B. (2022) The Open Handbook of Linguistic Data Management. The MIT Press.