It refers to the potential consequences or impacts of actions, decisions, policies, and values.

• With the increasing ability to collect detailed personal information, respecting individual privacy is paramout.

• Ethical data collection involves obtaining consent, ensuring anonymity where necessary, and being transparent about how data is used.

• Ethical practices help prevent the misuse of data, such as using it for discriminatory, exploitative, or manipulative purposes.

• This is especially crucial when dealing with sensitive data that could potentially harm individuals if misused.

• Ethical data practices build trust between data collectors and subjects.

• When individuals know their data is being handled responsibly, they are more likely to share it, leading to better quality data and more reliable analysis.

• Data ethics involves ensuring that data collection and analysis do not contribute to inequality or injustice.

• This includes being mindful of biases in data collection and algorithmic decision-making processes.

• Ethical data practices reflect a broader sense of social responsibility, acknowledging the impact that data collection and analysis can have on society at large.

• It’s about using data not just legally, but also in ways that contribute positively to societal well- being.

involves reflecting on the moral aspects and implications of decisions, actions, and practices, ensuring they align with accepted moral standards and principles such as fairness, respect, responsibility, and integrity.

Recognizing and upholding individuals’ rights to make informed decisions about their own lives, including consenting to participate in research or accepting medical treatment.

Treating all individuals and groups with fairness, providing equal opportunities, and distributing benefits and burdens justly.

Actively promoting the well-being of individuals and contributing to the common good.