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data-driven-journalism.md

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About

This file collects information pertaining to ways in which the interaction between scientific data and journalism could be enhanced, particulary in the context of open research.

Some thoughts on the topic

We see no principle reason why approaches like embedded journalism would have to remain limited to military contexts, or prohibited to report negative results.
* Indeed, the concept of embedding journalists might well be better suited to the research process, and under terms like "journalist in residence", such interactions are being explored, though rarely with a focus on data.

Journalists, museums, or other science communicators could begin to interact with research projects before these even start and embed themselves and their audiences into the research process much more than they can now, thereby facilitating new approaches to public engagement with science.

Science journalists could enrich their current "scientists found out" reports with some of the "scientists are investigating - let's see how they do it!" variant, or reports on topics like animal rights in research with more pertinent data. Finally, the public would benefit from all of this - shorter research cycles, more efficient use of research funds, and a better understanding of what it actually means when scientists "found out" or "are investigating" something.

Examples of (mostly science) journalism

using data

close misses

about applications of data science

about data sharing or visualization

Engaging visualizations

Visualization-focused initiatives

Individual examples

Wikimedia examples

Visualization tools

Funding lines

See also