What you need to know
Irish OpenDatathon Call
As part of its Open Data Strategy, the Government endeavours to publish all appropriate public-sector data, to open up ‘opportunities for research, innovation, engagement and greater efficiency for all sectors of the economy’. It publishes 8720 datasets from 103 publishers on its open data portal at https://data.gov.ie. These public sector data cover many areas, including health, housing, transport, arts, agriculture, and lots more.
The Irish OpenDatathon has been organised to both promote these open datasets and to showcase the innovative thinking from members of the public, regarding the possible usage of this data. The datathon is both sponsored and promoted by the Department of Public Expenditure & Reform’s Open Data Unit.
First prize winner will receive €1000 and runner-up prizes for second and third place will also be awarded.
There are two steps to this challenge.
- Submit your application to us on or before Friday, 26 October. This can be any innovative use of open data – for example code-based implementation, an infographic, a clever spreadsheet or any other mechanism that creates a visualisation of two or more of the available open datasets.
- We would then like you to join us at the Open Datathon event on 09 November and give a short presentation on your submission. A template will be provided for you after you complete your initial application. This presentation should have visual impact and explain how and why you used your particular datasets.
Note – shortlisting may apply; you or a team member must be available to present at the event on 09 November
Deadline for your submission: Your entry should be submitted to us no later than 5.00pm Friday, 26 October.
How do I submit? Simply complete the registration form on the ‘register‘ page.
You have some questions or need some clarification? No problem, contact us at on email@example.com at your convenience
Datathon event requiring your presence: Friday morning 10.00-1.00, 09 November, ArcLabs, WIT West Campus.
Judging of entries will be based upon:
- Presentation: Each entrant have 20 minutes to present their entry to the judging panel on the day of the event. The presentation itself will be appraised as part of the judging process.
- Visual Impact: When conveying the results of data analysis, visual impact is a key factor. Entries will be appraised with respect to visual impact and clarity.
- Depth: The complexity and insightfulness of the data analysis will be considered when the entry is judged. More complex analysis involving a greater number than the minimum requirement of two datasets will be acknowledged.
- Reusability: In keeping with a philosophy of openness and transparency, entries must be reproducible by others at a future date, possibly with new or revised datasets. E.g. if the entry is an infographic, the analysis algorithms should be provided with the entry and any templates used to create the infographic should be readable by a freely available software package. If the entry is software-based, the datasets should be easily updatable when the original data changes or is updated. Entries must also come with explanatory text to help future researchers to correctly reconstruct your visualisation independently.
No singular merit distinguishes any entry. Graphical displays of clearly presented data are equal to those of code-based solutions and will be judged on the headings outlined above.
Note: all submissions will be made available publicly after the event in digital form, in the spirit of open data. Creators will retain all intellectual property rights associated with their entries but agree to publish the submitted version thereof under a suitable open source licence (i.e. MIT).
Participants will be required beforehand to synthesise two or more different datasets from the National Open Data Portal into a visualisation that could provide a new insight or expose a new correlation.
How does it work?
Participants may borrow and be influenced by ideas from Open Knowledge Ireland who have many examples of using open data from Irish sources.