Page 196 - Data Science class 10
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There are at least nine Data Governance strategic objectives:
1. Create an information-centric and informed organisational culture.
2. Establish a data governance program to provide accountability for information assets.
3. Provide for effective and appropriate information security.
4. Improve the quality and usefulness of information by making it timelier, more accurate, more complete and
more accessible.
5. Reduce the costs of managing information.
6. Share data through reusable processes; reuse data through shared processes.
7. Provide self-service business intelligence capabilities.
8. Develop enterprise-class data management staff.
9. Adopt enterprise-class data management tools.
5.2. ETHICAL GUIDELINES AROUND DATA ANALYSIS
A new area of ethics known as "data ethics" studies and assesses moral issues connected to data. Data can
include things such as curation, recording, generation, processing, sharing, and use of data. Algorithms (artificial
intelligence, robots, and machine learning,) and other types of data and technologies are also included, like tech
innovation, programming hacking, and codes made by professionals.
What exactly is the definition of confidentiality, privacy and personal data by Indian laws?
Indian law does not determine what privacy is, but only in such circumstances where privacy will be protected by the
law. Therefore, it must also be shown that the photograph was disclosed in circumstances importing an obligation
of confidence. The meaning of the word ‘confidentiality’ and ‘privacy’ are somewhat synonymous. Confidentiality
invokes the equitable principle of confidence. You can better understand confidentiality as your bank information,
such as your account number, ATM pin, user name and password for any social networking site, or your email
address which is to be kept secret from the reach of any other person. Here ‘privacy’ is all about the reflection of
what data is important and why. Privacy means limiting access to your personal information on social networking
sites, including who may see your content, profile image, and photographs.
The concepts that professionals generally agree upon even though there are no particular standards for ethical
guidelines around data analysis. Let us discuss about some principles here.
5.2.1. Protect the Customer/Consumer/Member
Privacy does not always mean confidentiality because private data may need to be audited based on the pertinent
criteria. However, the private data acquired from a person with their consent should never be exposed for use by
different businesses or individuals.
Another ethical responsibility that comes with handling data is ensuring data subjects’ privacy. Even if your
customers grant permission to collect, store, and analyse their Personally Identifiable Information (PII), that doesn’t
mean they want it publicly available.
PII is any information linked to an individual’s identity. Some examples of PII include:
• Full name
• Birthdate
• Street address
• Phone number
• Aadhar card or Social Security card
• Debit or Credit card information
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