NSDC Data Science Flashcards – Data Science Ethics Card #4 – FAIR Principles Part 2

This NSDC Data Science Flashcards series will teach you about the importance of data ethics. This installment of the NSDC Data Science Flashcards series was created by Florence Hudson and Varalika Mahajan. Recordings were done by Lauren Close, Florence Hudson, and Emily Rothenberg. You can find these videos on the NEBDHub Youtube channel.

In our data-driven world, fairness and responsible data handling are essential. Let’s explore the Fair Data Principles in just two minutes.

Firstly, What is FAIR Data? Fair data is data that is..





How can we ensure FAIR Data? 

First, transparency. Imagine the data as pieces of a puzzle. Transparency means understanding how your data is collected, processed, and used. Organizations should provide clear, understandable explanations about their data practices. This empowers you to make informed choices about sharing your data.

Next, consent. It’s like giving someone your puzzle piece willingly. You should have the option to consent or decline when your data is collected. Organizations must respect your choices and not force you to share your data. Consent ensures your data is used ethically and responsibly.

Control is like having the power to rearrange your puzzle pieces. You should be able to access, correct, or delete your data. Organizations should support your right to manage your information. Control gives you ownership of your data.

By embracing transparency, consent, and control, we can build a fair and responsible data ecosystem. Remember, your data is your puzzle, and you hold the pieces.

Please follow along with the rest of the NSDC Data Science Flashcard series to learn more about data science ethics.