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## Example files for the title:
# Ethics and Data Science, by Mike Loukides
# Ethics and Data Science
## By Mike Loukides, Hilary Mason, and DJ Patil
[![Ethics and Data Science, by Mike Loukides](http://akamaicovers.oreilly.com/images/9781492043874/cat.gif)](https://www.safaribooksonline.com/library/view/title/9781492043898//)
The following applies to example files from material published by O’Reilly Media, Inc. Content from other publishers may include different rules of usage. Please refer to any additional usage rights explained in the actual example files or refer to the publisher’s website.
O'Reilly books are here to help you get your job done. In general, you may use the code in O'Reilly books in your programs and documentation. You do not need to contact us for permission unless you're reproducing a significant portion of the code. For example, writing a program that uses several chunks of code from our books does not require permission. Answering a question by citing our books and quoting example code does not require permission. On the other hand, selling or distributing a CD-ROM of examples from O'Reilly books does require permission. Incorporating a significant amount of example code from our books into your product's documentation does require permission.
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As the impact of data science continues to grow on society, there is an increased need to discuss how data is appropriately used and how to address misuse. Yet, ethical principles for working with data have been available for decades. The real issue today is how to put those principles into action. With this report, authors Mike Loukides, Hilary Mason, and DJ Patil examine practical ways for making ethical data standards part of your work every day.
To help you consider all of possible ramifications of your work on data projects, this report includes:
. A sample checklist that you can adapt for your own procedures
. Five framing guidelines (the Five C’s) for building data products: consent, clarity, consistency, control, and consequences
. Suggestions for building ethics into your data-driven culture
Now is the time to invest in a deliberate practice of data ethics, for better products, better teams, and better outcomes. Read a copy of this report and learn what it takes to do good data science today.
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