[ddj] Best Practice in Data Journalism - Contributions for the Data Driven Journalism Handbook *today*

[Lucy Chambers]

Any Sunday Journalists out there?

The OKF Team and the European Journalism Centre are at Mozilla Festival in
London today today, half way through our marathon sprint to put together
the first draft of the Data Driven Journalism Handbook. See (
https://mozillafestival.org/2011/09/28/data-journalism/) for more details.
We've got some great contributions so far and want to finish on a high!

Today - I am focusing on collecting case studies from 3 particular areas:

1. Data powered stories - stories where you don't necessarily see the data,
but the hard work of a data-wrangling journalist extracted a story from the
data
2. Data served with stories - stories where effort is made to show the
reader the actual data behind the stories, either through diagrams, by
directly linking to the source data, or by giving the public the source
data to download...
3. Data driven applications - journalism is no longer just blocks of prose,
infovis and interactive applications are just as important and we're
looking for the best cases here...

## How you can help:

*Level 1.* Send us links to best examples you know of of each of the above
categories... (*Bonus Points* if you can point us in the direction of the
people behind the story)
*Level 2.* Look at and answer the questions below the signature, answers on
a postcard / email to me directly so that we can feature your contributions
in the book! If you would like me to mention any particular affiliation for
your contribution, please let me know!

It would be great to get a great spread of stories and approaches from all
over the world and as many different approaches as possible.
 Happy brainstorming!

Lucy

## The Sections
1.4.1 Data powered stories

   - Overview: Give and describe successful examples of data powered
   stories you worked on. Describe how you produced these stories. The aim is
   to give journalists and decision-makers in newsrooms who might be
   interested in data journalism a sense of what the potential of data powered
   stories is and how they could go about producing them.
      - What data did you use and how did you obtain it?
      - What determined you to start this project?
      - What did the project aim to achieve?
      - How long did you work on the project?
      - How many people worked on it?
      - What was the cost of the project?
      - What were the skills necessary for this project? (domain knowledge,
      coding, research, visualisation, etc.)
      - What is the role of datasets in these stories? (e.g.: give rise to
      new stories, enrich stories, contextualize  stories, help journalists
      explore topics in new ways, etc.)
      - What was your approach? (exploratory vs. hypothesis approach)
      - What techniques and tools did you use?
      - How did you present the data powered story?
      - What is the potential of data powered stories?
      - Why should journalists/newsrooms be interested in producing such
      projects?
      - What were the challenges in producing these stories?
      - What tips and advice would you give to journalists who want to work
      on similar projects?
      - Please include relevant links, videos and images.


   - Length: 1.5-3 pages per example


1.4.2 Data served with stories

   - Overview: Give and describe successful examples of data served with
   stories you worked on. Describe how you produced these projects. The aim is
   to give journalists and decision-makers in newsrooms who might be
   interested in data journalism a sense of what the potential of data served
   with stories is and how they could go about producing them.
      - What data did you use and how did you obtain it?
      - What determined you to start this project?
      - What did the project aim to achieve?
      - How long did you work on the project?
      - How many people worked on it?
      - What was the cost of the project?
      - What were the skills necessary for this project? (domain knowledge,
      coding, research, visualisation, etc.)
      - What is the role of datasets in these stories? (e.g.: provide
      additional context or insight, etc.)
      - What was your approach? (exploratory vs. hypothesis approach)
      - What techniques and tools did you use?
      - How did you present the story and the data served with it?
      - What is the potential of such projects?
      - Why should journalists/newsrooms be interested in producing such
      projects?
      - What were the challenges in producing these projects?
      - What tips and advice would you give to journalists who want to work
      on similar projects?
      - Include relevant links, videos and images.


   - Length: 1.5-3 pages per example



1.4.3 Data driven applications

   - Overview: Give and describe successful examples of data driven
   applications you worked on. Describe how you produced these applications.
   The aim is to give journalists and decision-makers in newsrooms who might
   be interested in data journalism a sense of what the potential of data
   driven applications is and how they could go about producing them.
      - What data did you use and how did you obtain it?
      - What determined you to start this project?
      - What did the project aim to achieve?
      - How long did you work on the project?
      - How many people worked on it?
      - What was the cost of the project?
      - What were the skills necessary for this project? (domain knowledge,
      coding, research, visualisation, etc.)
      - What was your approach?
      - What techniques and tools did you use?
      - How did you present the outcome?
      - What is the potential of such projects?
      - Why should journalists/newsrooms be interested in producing such
      projects?
      - What were the challenges in producing these projects?
      - What tips and advice would you give to journalists who want to work
      on similar projects?
      - Include relevant links, videos and images


   - Length: 1.5- 3 pages per example


-- 
Lucy Chambers
Community Coordinator
Open Knowledge Foundation
http://okfn.org/
Skype: lucyfediachambers
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