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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.

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