Data Packages in Metatab format

This repository holds Metatab files for data packages for which we don't control the data -- all of the resource URLs are off site. You can use the metatab files to create local data packages with the metapack application.

For a guide to getting started using the metatab programs, see the tutorial for the Metatab Python module.

After cloning this repo, the typical process is:

1. Create a subdirectory for the data origin
2. In the origin directory, create a new metadata.csv file.
3. Update the name elements in the metadata, and regenerate the name.
4. Create a new directory with the dataset name, excluding the version.
5. Move the metadata.csv file into the new dataset directory.

For example, to create the dataset for the California School Dashboard

$ mkdir cde.ca.gov
$ metapack -c

Open the metadata.csv file and make these changes:

Name.Dataset: accountability-dashboard
Name.Origin: cde.ca.gov

Then save the file and run:

$ metapack -u 
Changed Name
Name is:  cde.ca.gov-accountability_dashboard-1
$ mkdir cde.ca.gov/cde.ca.gov-accountability_dashboard
$ mv metadata.csv cde.ca.gov/cde.ca.gov-accountability_dashboard