With Data Packager’s simple interface you can create a data package, upload
CSV files to it, enter some metadata, and get a web page where users can
explore and download your data package. When you login, you’ll be taken to
your dashboard, where you’ll see a list of any packages you’ve created so far
and an Add package button:
Click the Add package button to create a new data package and you’ll be taken
to a form where you can enter the title and other metadata for your package:
Click on Next: Add CSV files and you’ll be taken to a form where you
can upload one or more CSV files to your data package:
Finally, click on Finish to create your data package. You’ll be taken to your
data package’s page:
You can publish the URL of this page, or share it with anyone who you want to
share your data package with.
Why Tabular Data Packages?
Tabular Data Packages (defined by the
DataProtocols.org Tabular Data Package spec)
are a simple and easy-to-use data publishing and sharing format for the web.
A Tabular Data Package is
a collection of CSV files with a datapackage.json file.
The datapackage.json file contains metadata about the package (title of the
package, description, keywords, license, etc.) and schemas for each of the
package’s CSV files.
The format is a good compromise between CSV and Excel, providing the simplicity
and ease-of-use of CSV with some of the expressivity of full-blown
The schemas for the CSV files use the
JSON Table Schema format,
a simple format for tabular data schemas. It
includes metadata for each of the CSV file’s columns (column name, type,
description, etc.) and optional primary and foreign keys for the file.
After you’ve created your data package and uploaded some CSV files to it,
Data Packager has a few nice features for you…
Download Data Packages
The Download Data Package button on your data package’s page will download
a ZIP file including all of your package’s CSV files and the datapackage.json
file containing the metadata you entered for your package and files, plus schemas
for each of your files:
Data Packager automatically generates a JSON Table Schema for each CSV file
that you upload. The generated schema includes:
Column names for each of the file’s columns (taken from the CSV file’s
header row, if it has one)
The type of the data in each column (string, number, date…), inferred
from the values in the columns
Some descriptive statistics calculated for numerical columns
(minimum and maximum values, mean, standard deviation…)
Temporal extents (earliest and latest dates) for date and time columns
By clicking on one of the CSV files on your data package’s page, you can browse
the file’s schema using the schema browser. Each file’s page shows a preview
of the CSV file contents, and by clicking on the columns in the preview you
can inspect the schema for each column:
By clicking the Edit button on one of your CSV file’s pages, you can edit the
file’s JSON Table Schema and add your own custom attributes.
Data Packager validates all the changes that you make and gives helpful error
messages if you try to save an invalid schema.
Primary and Foreign Keys
If you add primary and foreign keys to a CSV file’s schema, they’ll also be
shown on the file’s page.
All of Data Packager’s features can also be used via its