Session 1: Data Production, Usage and Integration

From rivalrous goods (print) to non-rivalrous goods (bits).
We need to move beyond datasets used to illustrate reports.

There is an opportunity for an ecosystem of open data:
- small pieces, loosely joined
- easy to reuse, easy to recombine
- lots of contributors/maintainers
- distributed, decentralised
- divide and conquer
- revision, itirative, wiki like

Making the news:
- Finding new stories in datasets
- Bigger picture by linking datsets
- More pairs of eyes to spot patterns
- Harnessing more external expertise
- Analysing data behind the stories
- Responding to interest from public
- Putting stories into context
- Publishing datasets wihh stories
- Create new interfaces to data and stories

Spreading the news:
- Visually representing data
- Demand driven delivery
- Datasets for others to reuse
- Enabling users to comment flag
- Integration with other services
- Connecting data to stories

Article Series - Data-Driven Journalism

  1. Data-Driven Journalism: Status and Outlook
  2. Jonathan Gray: Open Data and Data Driven Journalism
  3. Lorenz Matzat: Weatherstations
  4. Richard Rogers: Lippmannian Device
  5. Simon Rogers – Free our Data: The Guardian Approach
  6. Frank van Ham (IBM) – Data Visualization in Journalism
  7. Session 3: Storytelling with Data
  8. Session 4: New Formats for Presenting Information and Stories
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