[OpenSpending-discuss] How Spending Stories Spots Errors in Spending Data

Tue Dec 6 10:01:26 UTC 2011

Something I have been considering in preparing Australian data for
OpenSpending is that it would be very interesting to have a software
package to rate spending items like an email spam filter detects spam.
The most interesting spending items to a human are often the ones with
the most things "wrong" with them on a data level - edited to increase
the value by double, recorded in a database after the money was spent,
a government agency or supplier dealing in large sums all of a sudden.

On Tue, Dec 6, 2011 at 8:29 PM, Lucy Chambers <lucy.chambers at okfn.org> wrote:
> How do readers know that the numbers quoted in news stories about spending
> are correct? As part of the work on Spending Stories, the OpenSpending team
> have been working on creating a wiki-like system that lets the user scroll
> back, trace and reproduce changes made to the dataset every step of the way,
> from initial data release to visualisation.