This post is crossposted from DataMeet.org, an organization that promotes open data in India.
Sunday, August 31st, DataMeet worked with an Economic Times Journalist Jayadevan PK with support from School of Data, to design an intro to data journalism workshop. For a while now there has been quite a bit of interest and discussion of data journalism in India. Currently there are a few courses and events around promoting data journalism, we thought there was definitely room to start to build a few modules on working with data for storytelling. Given that we have not done too many of these we decided to do an introduction and leave it limited to a few people.
You can see the agenda with notes here and the resources we shared on the data journalism resource wiki page, as well as refer to the data catalog that DataMeet has been putting together.
Thanks to Knolby Media for hosting us and for School of Data for the support. Thank you to Vikras Mishra for volunteering and taking notes, pictures, and video.
We had four story tellers with us, from various backgrounds. We spent the morning doing introduction and what was their experience with data, what their definition of data journalism is and why they wanted to take this workshop. Then we had them put up some expectations so we can gauge what the afternoon should focus on.
We then had Jaya go through the context of data journalism in terms of the world scale and the new digital journalism era.
Then we spent some time going over examples of good data journalism and bad.
After we went through resources people can use to get data. We touched upon the legal issues around using data and copyright issues. Then we discussed accuracy and how to properly attribute sources.
Then we demonstrated a few tools
– Scraper wiki
The participants thought understanding how to visualize would be helpful. So we went through a sort of visualization roadmap. Then went through stories they were working on to see how we would create a visualization and also how to examine the data and come up with a data strategy for each story.
Then showed some more tools to address the suggestions from the exercise.
– Fusion Tables
People wanted another day to let the lessons be absorbed and some more time to actually have hands on time with the tools. Also even at the intro level it is important to make people come prepared with stories, so they have something to apply the ideas to.
To say we learned a lot is an understatement. We will definitely be planning more intro workshops and hopefully more advanced workshops in the future, we hope to continue to learn what people think is important and will keep track and see what kinds of stories come out of these learning session.