Remember When

Project Info

Remember Team thumbnail

Team Members


1 member with an unpublished profile.

Project Description


Creating an application which unveils the hidden story behind historical buildings, events and locations of significance. User location is tracked via GPS and as they approach a location marked on the map, it will be 'unlocked'. Once unlocked, a pop-up with information about the location will be revealed, including old photos, history and other user stories surrounding the site. Users will be encouraged to discover and unlock further areas through tracking of their statistics and milestones such as discovering entire towns or suburbs.

Please note: Prototype has only been coded with locations from the town of Kalgoorlie in Western Australia at this point. When using the 'source code URL section' Please direct the map to Kalgoorlie for a demonstration of use.


Data Story


Primary datasets were sourced from https://trove.nla.gov.au/ and https://catalogue.data.wa.gov.au/dataset/heritage-council-wa-state-register. Trove gives an in depth database of documentation surrounding various Australian places, people and events. The register gives a list of heritage listed sites in Australia. Combined we are able to pair large amounts of historical data to GPS coordinates on a map, allowing users to easily visit these sites with in depth relevant information at hand. Not only will visitors learn the story of historical sites, as a stretch goal we are aiming to create an environment where users can add their own stories to sites, adding first hand accounts to historical records on site.


Evidence of Work

Video

High-Res Image

Team DataSets

Trove - Historical Articles

Description of Use Original images and texts are sourced from it to be used to describe landmarks that users visit.

Data Set

Heritage Council WA State register

Description of Use Used to locate heritage listed buildings and sites for our map.

Data Set

Challenges

Lifestyle living

How can the economic and lifestyle advantages of working and living in regional centres be used to encourage urban people to consider moving to the regions?

Go to Challenge | 4 teams have entered this challenge.

Save Lives With Data

How can we use data and technology to better the health of the Australian population, and what could be the economic impacts?

Go to Challenge | 35 teams have entered this challenge.

Most creative use of WA data award

This challenge aims to champion the creative use of Western Australian data.

Go to Challenge | 5 teams have entered this challenge.

Bounty: Q ANZAC 100 Challenge

How might we engage Queenslanders with Q ANZAC 100: Memories for a New Generation?

Go to Challenge | 5 teams have entered this challenge.

Healthy Communities Challenge

How might we assist councils to build healthier and stronger communities?

Go to Challenge | 49 teams have entered this challenge.

Bounty: Is seeing truely believing?

How can we tell a story with visualisations, that speaks the truest representation of our data?

Go to Challenge | 28 teams have entered this challenge.

People in motion

How can we bring public and privately provided travel, lifestyle and leisure activities information together easily in a way that is easy to use and can help everyone find the information relevant to them for events at our venues.

Go to Challenge | 2 teams have entered this challenge.

Tech for Top Tourism

How can data and digital technology be used in tourism to help create jobs and business opportunities in regional areas?

Go to Challenge | 3 teams have entered this challenge.

Australians' stories

What meaningful ways can we tell the story about what it's like to be an Australian, and in what ways some Australians live very different lives than others? How can we make people more aware of the issues facing themselves and others as they go through life?

Go to Challenge | 34 teams have entered this challenge.

Most innovative award

This an open challenge to recognise the use of data in an innovative way that was unexpected and challenges the common use of data

Go to Challenge | 8 teams have entered this challenge.