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hello data
I visualize data buried in non-proprietary healthcare databases
https://unsplash.com/@winstonchen

Go big data or go home...

5/10/2016

 
I will resist the temptation to jab a pencil into my forehead. Every time the phrase "big data" is uttered a data scientist sheds a tear. Or I contemplate a self-induced lobotomy. Our super-sized collective mentality is convinced that bigger is better. Not necessarily. High-quality evidence is often shoved out of the "limelight" as spurious claims  are splashed across transmedia news outlets.

I was recently at the Science Writer's Bootcamp sponsored yearly by the Johns Hopkins Institute for Basic Biomedical Sciences. The topic this year was Weighty Matters: Recent Advances in Metabolism, Obesity and Diabetes Research.

The schedule allowed sufficient time for networking with attendees and presenters. I was somewhat shocked when the sole attendee from a singularly popular health news announced that he was just learning the science as he goes--but he was an experienced reporter so it was working out okay!?

My immediate concern about events targeted for science writers are data highlights presented in the absence of context. Sure you can show a graphic but what about the framework for the audience to determine if the claims are warranted.

A colleague mentioned quite astutely her concerns regarding the axes in one of the graphics (see below). "Hey did you see that scale on the graphic?" We conferred that the visualization would look different if presented correctly. It makes you wonder that the 10 to 11 week post-irradiation data might have shown in the male rats.

I know it seems like I keep repeating myself but what we really need is improved numeracy. Journalists and writers need to understand the data. The spurious associations and dubious claims are the purvey of anyone hoping to tell a hidden story. Not to be a "gotcha" fanatic but to keep the bar high--and rising.



Why is Broader Access to Publicly Funded Data Important?
Source: National Pharmaceutical Council

Access to the data is one barrier--but knowing what to do when you get there is quite another. The infographic, WHY IS BROADER ACCESS TO PUBLICLY FUNDED DATA IMPORTANT?​
brings up a good point but I am afraid not enough people are even looking--or concerned.

It reminds me of a saying by Seth Godin:
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Getting your ducks in a row is a fine thing to do. But deciding what you are you going to do with that duck is a far more important issue.

​Dietary and sex-specific factors regulate hypothalamic neurogenesis in young adult mice

Picture
But don't lose sight of the goal. Once we have identified the appropriate databases and/or data sources--what are the next steps?

Stay tuned...
Public access to data is critical. I will keep sharing databases of interest and even tutorials along the way to coalesce best practices.
Thoughtful discussions about content development and outcomes analytics that apply the principles and frameworks of health policy and economics to persistent and perplexing health and health care problems.

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  • Data & Donuts (thinky thoughts)
  • COLLABORATor
  • Data talks, people mumble
  • Cancer: The Brand
  • Time to make the donuts...
  • donuts (quick nibbles)
  • Tools for writers and soon-to-be writers
  • datamonger.health
  • The "How" of Data Fluency