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  • We began with one goal: to democratize data.
  • We started by making data more visual
  • Then we tackled data management.
  • Today, we are building a collaborative community…

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Our story

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Last updated 2 years ago

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We began with one goal: to democratize data.

Understanding human-centered data is profoundly important; it captures how our societies succeed and how they ought to improve. But all too often, the value of data is unrealized because of siloed systems and inflexible tools.

In the spring of 2015, we set out to make such data more available.

We started by making data more visual

Data is useless if it can’t be understood. A billion temperature measurements are essentially incomprehensible, but a time-series choropleth on a map of the world can tell us an important story about climate change.

Redivis began by helping researchers their data — both for them to better understand and to best articulate these data to a broader audience. , and most importantly, gave us early insight into the data-driven research process.

Our early successes were compounded when we joined fifth accelerator class, where we dove into the principles of user-centered design and expanded our visualization tools to the journalism community.

Then we tackled data management.

Data visualization is essential to their communication, but it requires that we have data. And that they’re reasonably clean. And what about restricted data? Metadata? Big data?

It was these challenges that excited us as we began our partnership with the in 2016. With their rich and varied datasets and community of talented researchers, the center was the perfect partner to learn and develop novel solutions for data administration alongside reproducible tools for data analysis.

Today, we are building a collaborative community…

As more organizations and researchers join Redivis, we continue to strive to connect the various nodes and incentives in the data ecosystem. We endeavor to reduce friction at every step of the research process, and minimize the roadblocks to working with data — whether they be public or restricted data, big data or small.

Follow our , view our , and submit your to see what we’re up to and play a role in our journey.

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