I'll start with the papers because these may be more digestible post-workshop readings. I chose mostly from PLOS Computational Biologists "10-rules" series. A few of the papers are older and technologies have evolved but the principles are largely the same.
A Quick Guide to Organizing Computational Biology Projects
Ten Simple Rules for a Computational Biologist’s Laboratory Notebook
Good enough practices in scientific computing
Ten Simple Rules for Creating a Good Data Management Plan
Ten Simple Rules for Digital Data Storage
Ten simple rules for documenting scientific software
The Sequence Read Archive at NCBI is something almost all who work with sequence data will have to use:
SRA Metadata and Submission Overview
The SRA submission templates have good examples of what structured metadata will look like. Download this one for example.
Other resources I like include:
NC State library's Elements of a Data Management Plan
FAIRsharing.org database of community standards, databases, and policies (data management is a community-driven activity)
Research Objects for reproducibility of complex data structures/experiments
NIH Supplement to Data Management Policy
UCSD data management plan examples
Finally,
The data management component of our course has some short questions and activities.