Since data represents personal characteristics and can be used for various decisions, thereby affecting people's lives, its quality and reliability need to be ensured.

Misuse of data can have a negative impact on people and organizations, hence the need to prevent data from being misused

Data has economic value and the ownership of the data needs to be stipulated, that is, who can use the data and how to use the data

This code reflects the most basic ethical requirements for treating human beings, namely respect for individual dignity and autonomy

The guidelines also require that people in “vulnerable” situations should take extra care to protect their dignity and rights

When considering data as an asset, it is important to keep in mind that data also affects, represents, and touches people.

Unethical use of personal data will directly affect people's interactions, employment opportunities and social status.

Two elements: first, do no harm; second, maximize benefits and minimize harm.

Ethical data and information practitioners should identify stakeholders and consider the outcomes of data processing and work to maximize benefits and minimize the risk of harm caused by the design process

This principle considers treating people fairly and impartially

Timing

Visualization is misleading

Unclearly defined or invalid comparisons

bias

Transform and integrate data

Obfuscation and redaction of data

The first step to improvement is to understand where your organization is today

The purpose of reviewing existing data processing procedures is to understand the extent to which these methods are directly and explicitly related to ethical and compliance drivers.

These reviews should also define how employees understand the ethical implications of existing practices in establishing and maintaining trust among clients, partners and other stakeholders.

The purpose of standardizing the ethics of data processing is to reduce the misuse of data and thereby reduce the risks to customers, employees, suppliers, other stakeholders and even the entire organization.

An organization trying to improve its practices should understand these general principles

Principles should be aligned with risks, practices, and practices should be supported by controls

guiding principles

risk

practice

control

After reviewing the current state and developing a set of principles, organizations can improve their approach to data by formalizing a strategy

Data can be misused and conflict with underlying ethical standards

The ethical perspective is important not only because data is susceptible to misuse, but also because an organization's social responsibilities do not allow it to compromise data