Tag Archives: data stewardship

Querying the GHDx Database: Demonstration and Review of Application

Many data scientists interested in health are looking to query the Global Burden of Disease database, also known as the GHDx

Querying the GHDx database is challenging because of its difficult user interface, but mastering it will allow you to access country-level health data for comparisons! See my demonstration!

Interview Preparation for Data Science Positions: Tips and Tricks

You can actually prepare for interviewing for data science positions by doing certain activities, like looking up common questions, and practicing answers.

Interview preparation for data science jobs can involve taking several simple, actionable steps to make yourself feel confident and ready to answer questions with ease. Read my blog post for my tips and tricks!

“Bad Blood” Highlights the Issues with No Administrative Barrier between Research and Clinical Data: Part 5 of 5

Clinical data and research data are governed by different regulations. Therefore, you cannot mix them together, but you can transfer them around from project to project.

Read my last post in a series on data-related misconduct at startup Theranos outlined in the book, “Bad Blood”, where I discuss their lack of administrative barrier between research and clinical data.

“Bad Blood” Shows how Theranos was an Abject Failure in Data Stewardship: Part 3 of 5

You need governance in data science whether you are doing clinical research in a healthcare setting or in a laboratory.

The book “Bad Blood” describes the fall of startup unicorn Theranos, but also provides insight into the company’s abject failure at data stewardship, which I talk about in this blog post.

“Bad Blood” Demonstrates how a Lack of Product Description Leads to Data Science Misconduct: Part 2 of 5

You need to write a product description for your computer and business applications. Then, when scientists and marketers do research, they know what endpoints to study.

This blog post talks about how lack of product description led to data-related misconduct at Theranos, because they could never nail down exactly what they were trying to do.

This Course in Explainable AI will Get you Ready for the Future!

What do the data say when a machine learning algorithm is applied, and which features are important?

We experience artificial intelligence all the time on the internet in terms of friend suggestions on social media, internet ads that reflect what we have been searching for, and “smart” recommendations from online stores. But the reality is that even the people who build those formulas cannot usually explain why you were shown a certain […]

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