Store data in safe an secure locations.
Limit data access by username, ip, etc
Limit access on per row and per column basis.
Limit access to read-only, add-only operations, limiting write and delete permissions.
Consider encryption.

#Data Formats

Dictionaries or gazetteers
Table in a relational database
Key-value
Structured text file.
CSV
TSV
XML
JSON

#Data Storage

Filesystem
Object Storage
Database

#Data Versioning

Level 0: unversioned
Level 1: versioned as a snapshot at training time
Level 2: both data and code are versioned as one asset
Level 3: using or building a specialized data versioning solution

Level 2 is recommended.

#Documentation & Metadata

What the data means
How it was collected, or methods used to create it (instructions to labelers and methods for quality control)
Details of train-validation-test splits
Details of all pre-processing steps
Explanation of any data that was excluded
What format is used to store the data
Types of attributes or features (which values are allowed for each attribute or feature)
number of examples
possible values for labels or the allowable range for a numerical target.

#Data Lifecycle

Include a data lifecycle document for every sensitive data asset to describe the asset, circle of people who have permission, how long/whether it has to be destroyed.