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ETHICS IN DATA SCIENCE
05
Learning Outcome
5.1. Data Governance Framework
5.2. Ethical Guidelines Around Data Analysis
5.3. Discarding the Data
You have already learnt about Data ethics and Governance in the previous grades. A data governance framework
is a requirement for all business organisations and governments. Data governance framework aims at creating
methods, set of responsibilities and processes to standardise, integrate, protect and store data. As we move further
this chapter, you will learn the ethical standards for data analysis. Data analytics raises many ethical issues, especially
when anyone starts making money from their data externally for the purposes different from the ones for which
the data was initially collected. Let us now go ahead and understand ethical guidelines around data analysis.
5.1. DATA GOVERNANCE FRAMEWORK
Data governance is a collection of processes, roles, policies, standards, and metrics that ensure the effective and
efficient use of information to help an organisation reach its objectives.
Data governance in a corporate environment can
be seen as a collection of people, technologies,
Data
processes, and policies that ensure both Architecture
safekeeping and effective utilisation of data inside Management
an organisation. Data Quality Data
Management Development
You can ensure that the security and quality of
the data utilised are maintained through data
governance. Data Governance covers the following
aspects: Metadata Database
Management Operations
A data governance tool is a tool that helps in the Data Development
process of creating and maintaining a structured set Governance
of policies, procedures, and protocols that control
how an organisation’s data is stored, used, and
Data
managed. In today's landscape, data is at the core Document Security
& Content
of every business. Management Development
The Data Governance Quality Index (DGQI) toolset Data
provides a unique mechanism for self-evaluation of Warehousing Reference &
& Business
Master Data
data readiness levels throughout the Government Intelligence Management
of India. DGQI is based on internationally accepted Management
data preparedness assessment models from private
and public sectors but appropriately contextualised
for India.
Ethics in Data Science 193

