Register now for the Augmented Reality Innovation Challenge virtual information session!

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Can you help us make our open data better to use?

We would love for our data consumers to easily find, understand, view and use data that we have published on the Open Data Hub. Right now, data is disparate and may not be complete or could be in multiple places and hard to find. This can make using the Open Data Hub difficult and frustrating for data consumers.

For this Innovation Challenge, Transport for NSW (TfNSW) heard pitches for solutions to help make using data on our Open Data Hub a better experience!

The challenge was aimed at finding solutions to help us make data great! Solutions or products should be easily implemented in our current environment as either a CKAN/DKAN Extension (note we are using Drupal / DKAN 7.x-1.18.12) or an API or a standalone tool.

The solutions were required to address one or more of the objectives for the challenge.

For this innovation challenge there was no incubation process, however seed funding maybe available for successful applicants.
 

Challenge Statements

How might you provide tools, technology or views of data to improve the data consumer’s experience when using the Open Data Hub?

The Challenge Statements for this innovation challenge are: 

  1. How could you make our datasets easier to discover, view and understand by the general data customer?
    At present we have the capability to tag and write descriptions for our datasets, and the search function searches and indexes based on the description and tags but does not provide ability to search within the associated data resources. Our open data is sourced from different operational systems and often in different formats was not designed for “open data” uses and can be difficult to understand and use. 
     
  2. How could you make our API registration easier?
    Our API registration has been a source of frustration for users.  You can find the instructions we provide on our User Guide.

  3. How can you create a passthrough tool or API to systemically update one or more of the valuable datasets on the Open Data Hub?
    For example - Can you automatically convert GTFS-r data into a CSV in real time as an API?

  4. How could you help us expose what data is or isn’t available (yet) on the Open Data Hub? 
    Where are the gaps? Where is there duplication of data due to a different system producing the data? For example, there is some bike rack data that was provided via City of Sydney, but we know there is a lot more out there in terms of actual data as well as uncollected data.

  5. How could you help us personalise data results to logged in users?
    Using Machine Learning or Artificial Intelligence, how can you provide more customised data results to Open Data users?
     

How the challenge works

Applications opened from Wednesday 18 November 2020. The information session was held on Wednesday 25th November 2020. The recording is available at the bottom of this page. 

The information session provided an opportunity for developers and interested parties to ask questions and get information before applications were submitted by the end of Monday 7th December 2020. 

Once applications closed, the submissions were assessed and ranked by a judging panel. 11 teams were invited to Pitch Day.

Finalists pitched their ideas on Wednesday 16th December 2020 to a judging panel, with the finalists notified in late December 2020.

The chosen teams are now in the process of creating and finalising their solutions through the early part of 2021. Whilst there is no incubation, there is the option for regular check-ins and teams will be provided access to Subject Matter Experts. The final solutions will be integrated or embedded into the Open Data Hub in early 2021. We intend to roll out solutions by April 2021. 
 

Virtual Information Session

The virtual Information Session was held on 25 November from 1pm to 2pm via Zoom.

Download the pack from the session and watch the recording below, and read the Q&A from the session here

UPDATE 25 NOVEMBER: The slide pack presented indicated that DKAN = CKAN + Drupal however we would like to correct that and point you here instead. Any modules to be integrated would need to be DKAN/Drupal 7.x modules. The search engine used on the Open Data Hub is the Drupal Search API (not Apache Solr).





Key Challenge Dates
Applications opened on Wednesday 18th November 2020
The Virtual Information Session was held on Wednesday 25th November 2020 at 1pm via Zoom
Applications close on Monday 7th December 2020 at 11:59pm
Finalists for Pitch Day were notified on Wednesday 9th December 2020
Pitch Day Event 
was held on Wednesday 16th December 2020 (subject to change)
Finalists notified before Christmas 2020

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