Help storytellers make sense of data!
Join us in making a free, Creative Commons licensed e-book to explain important data concepts in simple language. Think of it as an in-depth data FAQ for graphic designers, content producers, and less-technical folks who want some extra help knowing where to begin, and what to watch out for when visualizing information.
Our goal is to have fun, geek out about data, and write several e-book chapters in a single day.
10:00 - Coffee, light breakfast. Mingle with data nerds.
10:30 - Lightning talks on data topics! Speakers TBA.
11:00 - Break out into research and writing groups
12:30 - Lunch, group updates
1:30 - Writing session #2
3:45 - Group updates, closing
Who should join?
We're looking for both data experts who want to help others understand data, and data newbies who'd like to gain a better understanding.
That means writers, statisticians, data analysts, developers who dabble in data, designers who like to make visualizations, and less-technical folks who want to help make sure our chapters are easily understandable to those with less experience in working with data.
We'll have some chapter topics picked out in advance to help you get started, such as "How to clean data" or "How to cite external data sources."
First off, it's going to be a ton of fun. You'll get to hang out with awesome people, drink coffee, and eat free lunch courtesy of the Reynolds Journalism Institute (woop woop!).
Authors, editors, and other contributors will also get credit for their work in this free, Creative Commons licensed e-book.
For each final chapter you submit, you'll receive a six-month subscription to Infoactive's web application for making interactive infographics. You can use the subscription yourself, or donate it to a student or nonprofit.
More info about contributor gifts and details about the project can be found here: https://infoactive.co/ebook
When & Where
Trina Chiasson & Dyanna Gregory
Trina is the founder of Infoactive, a web app for making mobile-friendly, interactive infographics with live data. She's also a fellow at the Reynolds Journalism Institute, where she works hard to help newsrooms make robust data visualizations.
Dyanna is a librarian and biostatistician who currently works as a statistical programmer for multicenter clinical trials. She has been obsessive about data cleaning since the age of 13 and loves to teach statistics to people who think they hate math.