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Code name #DataCrowder

Data Crowder Summary

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Page 1: Data Crowder Summary

Code name

#DataCrowder

Page 2: Data Crowder Summary

Our aim:

To challenge the existing methods of social and economic data gathering.

Page 3: Data Crowder Summary

Our solution:

Quick and insightful tool for hands-on data collection and visualization.

Page 4: Data Crowder Summary

Context:

Page 5: Data Crowder Summary

Current status quo:

Data is expensive, OLD, not accessible, abstract and hard to use.

Page 6: Data Crowder Summary

We need:

Bottom up, cheap and easy to use data collection, that can be easily shared to anyone online.

Page 7: Data Crowder Summary

The solution

DataCrowder.org,the social network for micro research.

Page 8: Data Crowder Summary

Micro research = storytelling based on data visualizations (maps and charts).

Page 9: Data Crowder Summary

Who needs it?

Researchers, journalists, community foundations, media and PR professionals, students.

Page 10: Data Crowder Summary

How does it work?

On DataCrowder.org users can:

1. Create, 2. Analyze, 3. Map or Chart,4. Publish and Share

their projects and stories.

Page 11: Data Crowder Summary

Alex lives in Berlin, works as a freelance journalist and he is currently writing a story on

how the IT industry is growing in the city. He has several

unanswered questions like: “What are the main

nationalities of IT professionals in Berlin?” or

“When did they arrive in Berlin?

To find the answers and write a better story he

goes on DataCrowder.org and shares his goals. He

then creates a micro survey with the two

questions, posts it and shares it with his network.

Page 12: Data Crowder Summary

Collaborators

Crowdsourced data collection form individual

users

Survey

Receives survey data and visualizes it on maps and/or

charts

Story

Publishes and shares findings

with visual support

Page 13: Data Crowder Summary

Beta phase – planned launch in May 2015.Web only.

Page 14: Data Crowder Summary

Planned for 2015:

1. Usability testing,2. Community building in Berlin and Toronto,3. Mobile add-on,4. Data analysis and functionality add-ons.

Page 15: Data Crowder Summary

Join us at:

www.DataCrowder.org