Data journalism has historical roots dating back to the 19th century but has evolved significantly due to increased data generation, online accessibility, and advanced visualization techniques. Stories can draw from individual data, like specific home prices, or aggregate data, such as statewide crime statistics. Journalists seeking data can utilize resources like the Freedom of Information Act and various search strategies to locate and request needed information.

1. Data Journalism

2. Is Data Journalism new?

3. Is Data Journalism new?
No… but some elements are

4. Is Data Journalism new?
No… but some elements are
1) 1849, NY Tribune, Cholera outbreak

6. Is Data Journalism new?
No… but some elements are
1) 1849, NY Tribune, Cholera outbreak
2) 1821, Manchester Guardian, cost of
education infographic

8. Is Data Journalism new?
No… but some elements are
Three big changes with data journalism:

9. Is Data Journalism new?
No… but some elements are
Three big changes with data journalism:
1) Amount of data being generated

10. Is Data Journalism new?
No… but some elements are
Three big changes with data journalism:
1) Amount of data being generated
2) Online accessibility of data

11. Is Data Journalism new?
No… but some elements are
Three big changes with data journalism:
1) Amount of data being generated
2) Online accessibility of data
3) Ability to visualize/interact with it

12. 2 categories of data for stories:

13. 2 categories of data for stories:
1) Individual
(Home price, tax info, arrest record...)

14. 2 categories of data for stories:
1) Individual
(Home price, tax info, arrest record...)
2) Aggregate
(Statewide arrests, all citations in a city,
historical patterns on crime,
educational outcomes...)

15. 1,000 gigabytes = 1 terabyte

16. 1,000 gigabytes = 1 terabyte
1,000 terabytes = 1 petabyte

17. 1,000 gigabytes = 1 terabyte
1,000 terabytes = 1 petabyte
1,000 petabytes = 1 exabyte

18. 1,000 gigabytes = 1 terabyte
1,000 terabytes = 1 petabyte
1,000 petabytes = 1 exabyte
Every day, the digital world creates
2.5 EXABYTES of data…
2 ½ BILLION megabytes

19. Unintended consequences of our
Data generation…
(but also great story ideas!)

20. Aggregate data comes 2 ways:

21. Aggregate data comes 2 ways:
1) Already published online;

22. Aggregate data comes 2 ways:
1) Already published online;
2) Available… but not published

23. Requesting data:
• FOIA
Freedom of Information Act (1966)
• TPIA
Texas Public Information Act (1993)

24. Requesting data:
• FOIA
Freedom of Information Act (1966)
• TPIA
Texas Public Information Act (1993)

25. Requesting data:
• FOIA
Freedom of Information Act (1966)
• TPIA
Texas Public Information Act (1993)
What data; who has it? Be specific

26. Search tips:
1) Google search “data”/”open data”;
2) Add “xls” or “csv” or “filetype:xls”
3) Settings; Advanced Search;

27. Search tips:
1) Google search “data”/”open data”;
2) Add “xls” or “csv” or “filetype:xls”
3) Settings; Advanced Search;
4) Search images, then view page;
5) Data Repositories (collections of
available data sources)