Australia’s first 3rd Generation open data site – from the ACT » Community

The ACT government today announced the soft-launch of their new open data site, dataACT, through their equally new Government Information Office blog.

In my view this is now the best government open data site in Australia.

What makes it the best?

Data is available in a range of common reusable formats – from JSON and RDF through RSS and XML – as well as CSV and XLS for spreadsheet users.
Visualisation tools are built into the site, so data is not only useful to data scientists and programmers, but to the broader public who can chart and map it without having to leave the site.
The built-in embed tool allows people to take the data and rapidly include it in their own site without any programming knowledge.
Users can reorder the columns and filter the information in the site – again without having to export it first, and
discussions are built into every dataset by default.

It follows a ‘generational’ path for open data I’ve been talking about for awhile.

Most open data sites start as random collections of whatever data that agencies feel they can release as a ‘quick win’, to meet a government openness directive. They then progressing through more structured sites with rigour and organisation, but still only data, through to data and visualisation sites which support broader usage by the general community and finally into what I term ‘data community sites’, which become collaborative efforts with citizens.

In my view dataACT has skipped straight to a 3rd Generation data site at a time when other governments across Australia are struggling with 1st or 2nd Generation sites.

Well done ACT!

Now who will be the first government in Australia to get to a 4th Generation site!

Read on for my view of the generations of open data sites:

1st Generation: Open data index

Contains or links to ‘random’ datasets, being those that agencies can release publicly quickly.
Data is released in whatever format the data was held in (PDF, CSV, etc) and is not reformatted to web standards (JSON, RDF, etc).
Some datasets are released under custom or restrictive licenses.
Limited or no ability to discuss or rate datasets
Ability to ‘request datasets’, but with no response process or common workflow

2nd Generation: Structured open data

More standardisation of data formats to be reusable online
More standardisation of data licenses to permit consistent reuse
Tagging and commenting supported, with limited interaction by site management
Workflows introduced for dataset requests, with agencies required to respond as to when they will release, or why they will not release, data
Ability to list websites, services and mobile apps created using data

3rd Generation: Open data enablement

Standardisation of data formats with at least manual conversion of data between common standard formats
Standardisation of data licenses to permit consistent reuse
Tagging and commenting supported, with active interaction by site management
Data request workflows largely automated and integrated with FOI processes
Ability to filter, sort and visualise data within the site to broaden usage to non-technical citizens
Ability to embed data and visualisations from site in other sites
Ability to list, rate and comment on websites, services and mobile apps created using data

4th Generation: Open data community

Strategic co-ordinated release of data by agencies to provide segment-specific data pictures of specific topics or locations
Standardisation of data formats with automatic conversion of data between common standard formats
Standardised data licenses
Tagging, commenting and data rating supported, with active interaction by site management and data holding agencies
Data request workflows fully automated and integrated with FOI processes with transparent workflows in the site showing what stage the data release is up to – (data requested, communicated to agency, considered by agency, approved for release, being cleaned/formatted, legal clearances checked, released/refused release)
Support for data correction and conversion by the public
Support for upload of citizen and private enterprise datasets
Ability to filter, sort and visualise data, including mashing up discrete datasets within the site to broaden usage to non-technical citizens
Data request workflows integrated with FOI processes, ability to request data visualisations
Supports collaboration between hackers to co-develop websites, services and mobile apps using data
Integrates the capability to run hack events – potentially on a more frequent basis (form/enter teams/submit hack proposals/submit hacks/public and internal voting/Winner promotion)