Good data sources are essential for great processing, curating and outputting. Many of these are already available today, but most of them aren’t annotated or machine-readable. This presentation will give you places to look for publicly available data sets and tools that you can use to browse, remix and visualize them.

1. But before you visualize —
Bram Pitoyo

2. e internet has many datasets.

3. Shakespeare’s works
http://www.openshakespeare.org/

4. Wikipedia infobox
http://infochimps.org/tag/wikipedia/

5. US public debt by day since 2001
http://tr.im/publicdebt

6. e problem.

7. e solution.

8. InfoChimps
http://infochimps.org

9. Numbrary
http://numbrary.com

10. Amazon WS Public Data Sets
http://aws.amazon.com/publicdatasets/

11. Comp. Knowledge Archive Network
http://ckan.net/

12. Open Street Map
http://www.openstreetmap.org/

13. e Guardian Open Platform
http://www.guardian.co.uk/open-platform

14. Now that you get the data —

15. You can either,

18. Strata: the data browser
http://www.kirix.com/

19. — or you can

25. Many eyes: shared data visualization
http://manyeyes.alphaworks.ibm.com

26. Too many frakking datasets.

27. “PublicData” on Delicious
http://delicious.com/tag/publicdata

28. “Dataset” on Delicious
http://delicious.com/tag/dataset

29. Data Wrangling
http://tr.im/datasets

30. RWW: Where to Find Open Data
http://tr.im/opendata

31. What’s next, you ask?

32. Linked Data
http://linkeddata.org/

34. anks.
bram@brampitoyo.com