Ethical Communications Using Data

Much of the data we collect as educators is subject to various federal, state, or local regulations about who can see the data and for what purposes. These ethical considerations most often apply to data points that connect with an individual or very small groups. Once aggregated, we tend to slide into our own version of ethics. We make decisions about how the data are presented and annotated. We choose the stories, the focus points, and even the audiences we share with. What are the questions we should be asking ourselves as we make these choices?

A recent forum on Responsible Data Use generated some categories and avenues of inquiry around this topic. I've read through the summary several times now, and with each glance through the list, I find new things that I'd like to discuss. Here are a few that catch my eye:

Communicating uncertainty

• How do we communicate uncertainty in data?
• In metadata?
• How do we represent gaps in the data?
• What if our knowledge of the uncertainty in the data is anecdotal?
• How can visuals show “no answer”?
• How can data visualization promote ambiguity?

Literacy

• How do we improve everyone’s data visualization literacy, as creators and as viewers?
• How do we educate people about the data they create?
• Which people most need data literacy?
• Can we provide interactive tools that let viewers adjust data visualizations in real time as a means of improving literacy?
• How can we support grassroots groups to create better data visualization?
• Is there a need for basic design principles and data viz 101 resources?
• How do we navigate a fear of numbers?

BAD data viz

• Is meaningless data visualization worth anything?
• What about when people make decisions based on bad data viz?
• If raw data is unrepresentative, will visualizations on it be bad?
• We should collect examples of unethical data visualization.

Audience

• How do we involve the audience?
• Who is the audience, and why?
• How do we create community ownership of a data viz?
• How do we allow a data viz to speak to multiple disparate audiences?

Some of these questions are easier to answer than others---we can think of a few ways to represent a lack of data. Others, like those in the "BAD data viz" group, are not so simple, but would be fun to kick around and see where we get. What would be your priorities in your workplace?

The summary with all of the categories and questions also has links to a variety of resources and notes connected with the forum. They are well worth exploring, if you have a few moments.

New Frontiers

I have probably shared this before, but this tweet from Hilary Mason is something I think a lot about:

https://twitter.com/hmason/status/488382950128754688

Within my own work, I continue to raise conversations about equity. How will students and teachers be empowered by the data we collect and review? How do we provide opportunity for marginalized voices to be heard? How do we elevate their needs and concerns?

I am starting to collect resources around both equity in data visualization. Here are a few that you might be interested in, too:

• The Harvard Graduate School of Design recently hosted a Black in Design Conference. There's a great Q & A available, where organizers Cara Michell and Courtney Sharpe provide background.
• I was also pointed toward two different articles about feminist data visualization. One explores what this type of data visualization would look like. The other takes a historical approach, reviewing work of women engaging in data viz in the nineteenth century. 
• Along this vein, I am starting to see more information shared about the intersection between digital humanities and data visualization. You might also be interested in following Shannon Mattern, Lauren Klein, and Paige Morgan for more ideas in this field.

In other news, I have been working on a little behind the scenes cleanup on this site. I've refreshed the information on the various pages, as well as the front page side bar. I also recently purged my Delicious site, deleting dead or irrelevant links and reorganizing the remaining ones. If you're searching for Excel info, research, tools, or anything else related to data viz (including equity), please head over to that site. There, you can sort links by a variety of tags.

I'm heading to the Tapestry Conference and Eyeo Festival this year. I am feeling the need to stretch and grow beyond the field of education. I do my best to connect with others in a digital space to learn about how they are using data, but I would like to do some in-person networking, as well. Will any other readers be at either of these events?