Several tools which make it easier to use the Data Package standard are now operational. These include a Data Package creator, a Data Package viewer, and there’s progress on a validator for Data Packages.
Data Package Creator
Turning a CSV into a Data Package means creating a file,
datapackage.json, which houses the metadata associated with the CSV. The Data Package Creator simplifies this process.
Provide the Creator with the URL of a CSV and it will return a well-formed JSON object with the required fields, as well as a raw JSON URL (the JSON URL serves as a basic machine accessible API).
Data Package Viewer
The metadata included with Data Packages makes it possible to construct a simple view of the data. We now provide an online Data Package Viewer to do this for you.
Just provide the link to your Data Package and Viewer generates a user-friendly description, a graph of the data, and a summary of the data fields. Here, for example, is the Viewer’s display of US wheat production data.
The biggest data news was having our first ‘out-of-the-blue’ contribution of an ‘official’ dataset! Evan Wheeler pinged us to offer a comprehensive collection of country codes for the world’s countries in Simple Data Format. Here is the:
- Standard and Poor’s 500 Index Data including Dividend, Earnings, and P/E Ratio (GitHub)
- US Consumer Price Index and Inflation monthly time series from January 1913 (GitHub)
New standards pages
Key here is providing simple, easy-to-understand, information and so we’ve revamped the standards page and created two new pages dedicated to providing simple introduction and overview for Data Package and Simple Data Format:
Anyone can contribute, and it’s easy – if you can use a spreadsheet, you can help!
Instructions for getting involved can be found here.