**Three steps to creating open datasets:**

**1)** initial data build (choosing data to archive)

      1a) redudancy (lock-down original source) 

      1b) alignment (create data matrix with consistent order)

      1c) test data quality (produce test plots)

**2)** annotation

      2a) label and metadata for each variable

      2b) basic descriptive statistics

**3)** verification step (before archiving)

      3a) sort/realignment (verify data matrix has a consistent order)

      3b) verify quality (reproduce plots)

**4)** archiving step

      4b) HDFView (https://www.hdfgroup.org/) for manipulating databases (HDF5 Format).

      4b) Open Science Framework (https://osf.io) or Github (https://www.github.com) for storage and providing stable URL. For Github repo storage, data can be converted to csv (comma-delimited) format, which will render in the form of a table in the repo.