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

Sun Nov 6 13:04:58 UTC 2011

Dear Lucy: in LA NACION from Buenos Aires, Argentina, we´ve done a couple of dataJ cases I´ve explained in English in this post that we made for an award entry (btw: we won the award!!)-

Besides, there´s a couple of videos we´ve made with Screenr , with our scrapper programs running as well as the difficulties we find in gathering data from PDFs . Here in Argentina there´s still no FOIA, no data.gov, no data in good conditions..., that´s why LA NACION in Argentina is contributing to any open data iniciative , hackaton or whatever citizen initiative we find to build data for everyone in argentina to use. That´s why we supported Hacks and Hackers Buenos Aires last hackaton too, and I´ve been there myself.

 With one of this cases (Transportation Subsidies), I presented a pitch in Hacks Hackers Boston for ONA this September,  that was solved by a python programmer there with an application called "PDF spy" (now in github) that monitors PDF changes (meaning: PDFs replaced with the same names ).  Here in Argentina LA NACION is contributing to every open data initiative

Please take a look at this post and let me know if this is may be of help, and besides, I can contribute with the handbook too, but let me know.
http://blogs.lanacion.com.ar/projects/original-online-reporting/data-journalism-tableau-visualization-and-open-data-in-la-nacion/

:)
Angelica

Angelica Peralta Ramos
Multimedia Development Manager - Data Project Lider
LA NACION
Buenos Aires, Argentina
http://www.lanacion.com.ar
http://www.twitter.com/momiperalta

De: data-driven-journalism-bounces at lists.okfn.org [mailto:data-driven-journalism-bounces at lists.okfn.org] En nombre de Lucy Chambers
Enviado el: Domingo, 06 de Noviembre de 2011 09:24
Para: List about Data Driven Journalism and Open Data in Journalism.
Asunto: [ddj] Best Practice in Data Journalism - Contributions for the Data Driven Journalism Handbook *today*

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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