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Team Name:

Marvellous Creations Hacking Data


Team Members:


Evidence of Work

DataTasker

Project Info

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Team Name


Marvellous Creations Hacking Data


Team Members


Patrick , Håkan Sjölin , Styliana and 1 other member with an unpublished profile.

Project Description


DataTasker is a project aimed at linking young people with scientific projects, to increase and improve open-source data available in the community. It consists of a mobile application allowing the general public to join projects, collaborate and provide much needed data for eligible projects requiring further data. Gamification concepts are utilised, including scores and leaderboards, user profiles, and connection with other data collectors, in order to increase user interest.

By utilising the power of crowd-sourcing and gamification to serve the needs of scientific projects that require observational or environmental data, it is possible to create large databases for researchers to analyse. Through the strength of collaboration, we can change the world – one data point at a time!

DataTasker image 1

DataTasker image 2

Team Members:
🕸️ Håkan Sjölin | Web Developer
📹 Patrick Biedrzycki | Videographer
👩‍🎨 Styliana Sarris | UX Designer
🤩 Zelia Chiu | General Rockstar


#science #data #data gathering #crowd sourcing #community science

Data Story


20-year-old Tom has felt trapped at home due to COVID19 lockdown restrictions. His mental health has declined, due to a combination of decreased outdoor activity, decreased purpose in his daily life due to university being converted online, and feeling disconnected from his friends and the world.

Albert is a researcher at a leading university who has dedicated his life to exploring nature post-natural disasters. However, due to COVID19 lockdown restrictions, he has been unable to explore and gather data on his large project. He is unsure how long it will take to gather the adequate data for his analysis.

Imagine the power of combining a group of people like Tom to help Albert with his research. Imagine the research that could occur if we just gave the public a chance to get involved in something they are passionate in, while they have the time and energy to gather data. Imagine the renewed sense of community, collaboration and purpose that could be added to the general public’s lives, as they see firsthand the impacts of their research!

The main concept of this prototype is a mobile application that is accessible to the general public. This will allow data collectors to connect with applicable projects based on location and interests. The application gathers different types of data (including pictures, videos and environmental samples), and sends it directly to a database on a server. Gamification strategies will be used including scores and leaderboards, and researchers will have the option of providing monetary rewards for particular data collections. Importantly, each user will be able to track datasets they’ve contributed to and the impacts on research based on each dataset.

A future addition is a web-based application created for researchers, allowing them to collate these datasets and use it to analyse and build upon their research.

In order to establish proof of concept, we analysed current datasets available, to assess viability of crowd-sourcing data.

From our research of datasets, we were led to three main eligible data-collection categories: nature projects, environmental projects and bushfire recovery projects.

Example of Nature projects:
- Agriculture Victoria Soils API: The Victorian Government-led data on soil quality and properties is an integral database to understanding the very ground beneath our feet. It is possible to increase this understanding by having members of the public collect similar samples around them, thereby having a geographically diverse database.
- Flora of Australia: The CSIRO-led Atlas of Living Australia is a fantastic open-access database informing the general public of Australia’s biodiversity data. It is possible to crowd-source additions to the database by having interested members of the general public capture photographs of relevant flora and fauna near them.
- Waterwatch Data Portal: The Melbourne Water database on water quality across is a fantastic database Victoria-wide. Already, data is collected primarily by Waterwatch volunteers, and it would be possible to increase publicity to increase the water samples, and thus data collected.

Example of Environmental projects:
- Ending plastic waste: CSIRO’s National Marine Debris Database is a crowd-sourced database tracking and characterising distributions of plastic waste near maritime areas. By increasing publicity, it will be possible to increase the data gathered.
- The Australian Marine Debris Initiative: The Australian Marine Debris Initiative, in association with Melbourne Waters, is a fantastic example of a crowd-sourced database tracking marine debris. As featured in the Melbourne Waters Litter Action Program, volunteers across Victoria are taking part in this project. It would be possible to increase publicity further to increase understanding of waste products in waterways.

Example of Bushfire recovery projects:
- Australian habitat image collection: CSIRO’s Australian Habitat Image Collection is a database featuring images and locations of various elements of Australian habitats. It can be expanded on to understand bushfire-affected regions and add to CSIRO’s bushfire recovery research projects. Through the power of crowd-sourcing images and geolocations, it is possible to expand on these databases and provide greater understanding of areas affected by natural disasters, to understand needs and priorities in habitat recovery.
- Bushfire Impact Water Quality: The NSW government’s data on water quality following the 2019-2020 bushfires is a prime example of a database that can be expanded on through crowd-sourcing data. While only Bellinger River, Khappinghat Creek, Lake Conjola, Termeil Lake, Meroo Lake, Tuross River and Wonboyn River were assessed for water quality, through the power of crowd-sourcing, samples from greater numbers of bodies of water can be assessed over a longer time period.


Evidence of Work

Video

Homepage

Project Image

Team DataSets

Bushfire Impact Water Quality

Description of Use We used this data set as an example of data that crowd sourcing could help with. Data gathered by volunteers could be used to further extend this data set to areas where the researches have not previously been collecting it.

Data Set

Australian habitat image collection

Description of Use We used this data set as an example of data that crowd sourcing could help with. This is an excellent example of where data gathered by volunteers could be used to further extend the database to add to the utility of it.

Data Set

Australian Marine Debris Database

Description of Use We used this data set as an example of data that crowd sourcing could help with. Already open to data from volunteers and organisations, this database could use DataTasker to further encourage collection of data according to desired methodology and standards.

Data Set

National marine debris database

Description of Use We used this data set as an example of data that crowd sourcing could help with. DataTasker would make it easier than ever for users to contribute to this database!

Data Set

Waterwatch Data Portal

Description of Use We used this data set as an example of data that crowd sourcing could help with. Data gathered by volunteers could be used to further extend the database to add to the utility of it.

Data Set

Flora of Australia

Description of Use We used this data set as an example of data that crowd sourcing could help with. Data gathered by volunteers could be used to further extend the database to add to the utility of it.

Data Set

Agriculture Victoria Soils API

Description of Use We used this data set as an example of data that crowd sourcing could help with. A lot of the data points in this API could be gathered by volunteers and submitted to the database for further research.

Data Set

Challenge Entries

Proactively reducing rubbish and pollution in our waterways

When rubbish and pollutants enter our waterways, it harms our aquatic life and spoils the amenity of our community spaces. How can we use open data to proactively reduce rubbish and common pollutants from entering our waterways so that we protect our natural environment and keep our rivers and creeks clean today, so that we can enjoy them tomorrow?

Eligibility: Must use at least one Melbourne Water dataset.

Go to Challenge | 6 teams have entered this challenge.

Data-driven decisions for improved disaster planning, management or recovery

How might we equip decision makers with a data driven tool to support their communities in the face of climate change and natural disasters.

Eligibility: Use CSIRO contributed data (from any platform).

Go to Challenge | 15 teams have entered this challenge.

Citizen Science

How might we create a citizen science experiment to support a better understanding of what is happening in the State of Victoria?

Eligibility: Participants must use one or more datasets from data.vic.

Go to Challenge | 12 teams have entered this challenge.

Science Tasker

How might we harness the power of the everyday citizen to conduct ongoing scientific research which has been hindered by constraints on travel due to COVID-19

Go to Challenge | 11 teams have entered this challenge.

Track and trace: help end plastic waste

Plastics contaminate Australia’s lands and seas, and challenge our industries, communities and decision makers with an exponentially growing problem. How might we enable and empower Australians to help de-plasticise our country and report plastic waste in our environment for a healthier future.

Go to Challenge | 11 teams have entered this challenge.