Radian is a community effort to increase the discovery and reuse of data resources. Use Radian to discover ideas and share resources about data science, visualization, data management, data policy, and applications of data for the public good.
Great data related resources are out there. Many of you—data experts, practitioners, and learners alike—share your data solutions, approaches, and ideas on the open web. However, finding these resources is hard, especially when materials with the potential for broad appeal are only shared with a specialized community. We want to break down disciplinary silos and create a space to share resources, amplify your work, and build an interdisciplinary community.
Radian is a community-curated hub for all things data. Use Radian to discover ideas and share resources about data science, visualization, data management, data policy, and applications of data for the public good. Radian will feature the best work created and used by the cross-disciplinary data community. Highlighting and connecting this work will increase the discovery and recognition of data-related contributions on the open web, and foster community built on information sharing.
We’re looking for experts and learners just like you to increase the discovery of the awesome content that you use and create. The workflow is straight-forward and built to leverage your existing browsing, publishing, and reuse practices.
As an editor, you’ll use PressForward to promote the awesome content that you make and use in your work, and then you’ll add some extra information to make it easier to discover and use by others. You will be recognized as a Radian Editors-at-Large and credited for the posts that you contribute.