Ethics in Big data Flashcards
How can organizations find the right balance in data governance, especially in big data projects?
*Finding a balance in data governance requires careful consideration of the specific field, available data, and local laws. It’s essential to strike a middle ground between the minimal and maximal approaches to data blocking to ensure both privacy and usability.
What are the key elements of data governance and why are they important?
The four major elements of data governance are:
Availability: Ensuring data is accessible and connected to relevant systems, addressing any restrictions or potential loss.
Usability: Considering data formats, processing languages, and the presence of metadata to ensure proper interpretation and usage.
Integrity: Maintaining data accuracy and consistency by preventing corruption, keeping code functional and updated, and preserving relationships between data tables.
Security: Protecting data and code from unauthorized access, accidental changes, and ensuring future accessibility by using open formats whenever possible.
By addressing these elements, organizations can better manage and govern their data, leading to more meaningful insights and greater value from their data science projects over time.
