Responsible data storytelling index of resources

What is Storytelling

Storytelling as political action

Personal and collective stories are a key element of knowledge, and as such can fuel evidence and empowerment. They can make issues of injustice, exclusion, democracy and human rights tangible and relatable. They can also contribute to personal and political transformation, democracy and social justice.

When shared by the protagonists, stories can help the narrators going through their experiences in a way they might have not expected, which can even be truly transformative of their own perception of what they lived.

When heard by people not directly involved in the story, they can help communicate problems and challenges they might not have experienced personally. Stories don’t offer answers, but they can inform listeners’ understanding and agency as active members of their society.

Stories powered by data for justice and rights

Stories are much more than content to be consumed out of curiosity (although that is surely not a negative nor ineffective way to use them). They can communicate facts and truth, as sharply as we are able to make them speak (through data, visualizations, numbers, relatable examples and accessible format and language). They can inform and drive the actions of the actors influencing the societal engine at different levels, from policy makers to citizens, voters, media outlets and protesters.

Our Responsible Data Storytelling Manifesto

Capacity builders, campaigners, activists and journalists working to support critical social justice and human rights can find a key ally in storytelling, especially when built on data. It can help individuals and groups living in marginalised and vulnerable communities allowing for their voices to be heard, their struggle to be visible. Promoting values of social justice and rights, stories can also become an active element of the process of social change.

But as practitioners working in such scenarios, we have to be carefully and responsibly aware of our role as part of the overall context. We should always:

• (as learned from The Art of War): know our assets; know the adversary; know the terrain. Mapping out the ecosystem of the context we work with can help understand where is the power, how does it work – and if we want our work to help a shift in the existing power dynamics;
• be very intentional about what we are trying to accomplish within the story. What is the overall goal (e.g. a campaign goal or a journalistic viewpoint), and how does this illuminate the facts?
• make sure the project/ story would not cause harm to anyone (the people collecting or owning the data, the individuals whose data would be collected and used), nor undermine the integrity of the person or the community it’s about. Particularly if they don’t have power in the situation but should;
• make sure data and information we’re working with are secure.

Where this resource started and where it's going

Together with a group of people (working in technology for social justice in a variety of roles) met at the 2014 Nonprofit Software Development Summit, we gathered in a breakout session and found ourselves discussing exactly about this: what do we need to know and do, how can we make sure we don’t skip any step which could make or break the security, power balance, transparency, accessibility (and more) of a responsible data storytelling project? We had a good feeling about the efficacy of bullet points and lists, but wanted to make some research to discover what already existed and if so, how it worked.

After our conversation, we wrote about it and received generous feedback from people working in big and small NGOs, active in grassroots groups, volunteering in initiatives working on the ground. Talking with practitioners who have been working in this field for several years, we realised that many of them, even having a lot of experience on various steps of the work process, often feel like they are missing atool to help them to keep the complexity of such project under control. Something to be checked quickly, to help answer difficult questions, especially when they arise without allowing a lot of time to take a decision. A checklist, basically.

Surgery checklists proved effective for doctors assisting them in the difficult work to help patients in need while always being aware that one wrong move could harm their patient. This sounds familiar, right?

From these reflections and conversations comes the idea to work together on a Responsible Data Storytelling checklist. We kicked off a very first sketch of it which even in its simplicity inspired great inputs and led to discovering spot-on resources. So, following the kind invitation of the Responsible Data Forum, we’re now joining its wiki we’re presenting you an updated and more fleshed out version of the checklist.

What we need help with

We’d love to hear from anyone who’d like to share feedback and contribute to develop the list further. Also, it would be great to know if you see this being helpful in your work, and if so, how. And where would you like to see this project go next?

Responsible Data Storytelling Checklist

Intro

What is Responsible Data Storytelling? Why are personal and collective stories important for social transformation? Working with data regarding marginalised and vulnerable communities Introduction/Goal of the Checklist and how it can help you

Before starting the project

What does it mean to work on a RDS project? RDF questions to ask when working as an intermediary with marginalized communities read also: Why should my NGO care about responsible data? (RDF resource)

Approach and Values Transparency Intersectionality Security (e.g. see RDF Data Risk Checker) Empowerment – a sense of recognition and empowerment is part of what makes us citizens who are able to act on our own behalf. Personal storytelling can help to build these capacities. Power – where is it and where should it be? Consider what would (could) the project lifecycle be even if compiled in reference to humanitarian and disaster response, this RDF resource can apply

Structuring and executing the project

RDF Responsible Development Data Book “Designing a project” chapter Look back at case-studies that can help guide your project Context analysis Study the ecosystem (actors, goals and challenges): know your stakeholders and what you want them to do as a result, once they read the story and interact with the data. This exercise can help thinking this through. Methodology Participatory-based Research is collaborative and iterative Consensus Tools & Readings “Participatory Research: Background and Outlook” Frans Geilfus, “80 Tools for Participatory Development.”

“Participatory Action Research Toolkit: An Introduction to Using PAR as an Approach to Learning, Research, and Action” Sara Kindon, Rachel Pain, Mike Kesby, eds. “Participatory Action Research and Methods: Connecting People, Participation, and Place.” Meredith Minkler: “Enhancing Data Quality, Relevance, and Use Through Community-Based Participatory Research.” What Counts: Harnessing Data for America’s Communities Project Management Make it sustainable, be flexible Check out the DIY Toolkit e.g. Critical Tasks List RDF Responsible Development Data Book: chapters on Managing/ Getting/ Understanding/ Sharing data + Closing the project (aka What Happens with the Data) + Project Design Resources

Project delivery and Next Steps

Delivery Tools see RDF Responsible data visualization Goals in relation to the community you serve delivery of the tool and training to enable usage post-delivery support in relation to the public delivery of report clear and digestible (make use of media and visualizations as most effective) key: connecting personal stories to collective political issues (“political” as in “addressing relations of power”) if the project aims to raise awareness and public action: have a clear 1-line with an ask to funders impact (as a whole picture made of outcome stories + data) document possible need of upkeeping Maintenance see also RDF Responsible Resource Creator Manifesto [optional: Scalability]