Why Data Access Isn’t Enough: Lessons from the Louisiana Justice Landscape

When data is released in the name of transparency, it’s often treated as the finish line. Numbers are published, dashboards go live, reports are made available, and the assumption is that access alone will lead to accountability.

But access is only the beginning. What actually determines whether data builds trust is whether people can understand what they’re looking at, place it in context, and use it to ask better questions about the systems shaping their lives.

That tension was at the center of my work with Measures for Justice on The Louisiana Data Landscape: A Divided Front. The project surfaced a familiar challenge in public systems work: information can be technically available while still remaining difficult to interpret, fragmented across agencies, or disconnected from the lived realities it’s meant to illuminate.

This work sat at the intersection of data, narrative, and public understanding. I focused on shaping how complex justice information was structured, visualized, and communicated so it could be meaningfully engaged by advocates, practitioners, journalists, and community members, not just policy experts.

One thing this work clarified for me is how easily systems speak in aggregates while communities live in specifics. When data is presented without explanation or connective tissue, it can flatten experience rather than clarify it. The challenge is not just showing what the numbers say, but helping people understand what they mean, where they come from, and what questions they should raise next.

Midway through this project, that idea became even more tangible through a conversation with Chief Judge Donald R. Johnson. In an interview focused on data accessibility in the justice system, he spoke less about transparency as an abstract value and more about how information is actually received and interpreted by the public.

He reflected on the responsibility that comes with releasing data that shapes perception, decision-making, and trust. Hearing a judicial leader articulate that distinction reinforced something this work was already pointing toward. Transparency is not only about making information public. It’s about ensuring that information can be understood, contextualized, and used responsibly.

That conversation sits alongside the broader findings of the Louisiana report. Together, they highlight a gap that many systems face. Data can be open and still feel inaccessible. It can be technically correct and still mislead if it lacks framing. And it can be well-intentioned while still falling short of the clarity people need to engage with it meaningfully.

This is where narrative structure and visual clarity become essential. Not to simplify away complexity, but to make complexity navigable. To create pathways for understanding rather than leaving people to interpret high-stakes information on their own.

You can explore The Louisiana Data Landscape: A Divided Front here

And if you’re interested in hearing directly from Chief Judge Johnson, the full interview is available through the MFJ Collective via the All In Network newsletter. It’s one of the ways Measures for Justice continues to share insight at the intersection of justice, data, and public understanding. Check it out here.

Work like this matters because transparency is about responsibility. When data is structured with care, communicated with intention, and grounded in context, it has the potential to support trust rather than erode it.