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Related Concept Videos

Ethics in Research01:56

Ethics in Research

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Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
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Ethical Standards I01:25

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The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
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Ethics and Bioethics01:22

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Ethics is a philosophical study of moral actions. Ethics attempts to determine what is valuable for individuals and society. It examines the rational justification of moral judgments and analyzes what is morally just, fair, and right. Bioethics is a sub-discipline of applied ethics that analyzes the philosophical, social, and legal issues in life sciences and medicine. Ethical theories serve as a foundation for decision-making and represent the viewpoints from which people seek direction. They...
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Ethical Issues01:27

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Nurses are essential in patient care, upholding the ethical principles of their profession and effectively navigating ethical dilemmas. Neglecting ethical issues can lead to inadequate patient care, compromised therapeutic relationships, and moral distress among healthcare workers.
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Resolving an ethical dilemma in healthcare involves a systematic approach that considers every aspect of the issue, respecting both the patient's needs and values and the healthcare professional's ethical obligations. Here are potential steps to resolve an ethical dilemma:
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Archival Research01:40

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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
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Data science ethics in government.

Cat Drew1

  • 1Cabinet Office, London, UK cat.drew@cabinetoffice.gov.uk.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|March 25, 2017
PubMed
Summary
This summary is machine-generated.

Government data science offers opportunities for better policy and services. An ethical framework, developed with public input, guides responsible innovation while addressing citizen concerns about privacy and trust.

Keywords:
algorithmic accountabilitydata scienceethicsgovernmentpublic research

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Area of Science:

  • Government data science
  • Ethical frameworks
  • Public policy

Background:

  • Data science presents significant opportunities for government to enhance policymaking and service delivery through advanced data processing.
  • However, realizing this potential requires addressing ethical considerations and public trust.
  • The Government Data Science Partnership aimed to foster confidence in data innovation.

Purpose of the Study:

  • To develop a practical ethical framework for government data science.
  • To understand public perceptions and concerns regarding data science in government.
  • To inform the responsible adoption of data science capabilities.

Main Methods:

  • An open, evidence-based, and user-centered approach was employed.
  • A public dialogue on data science ethics included deliberative workshops and an experimental conjoint survey.
  • An online engagement tool was utilized to gather broader public input.

Main Results:

  • The research validated the principles of the ethical framework.
  • Public awareness of 'data science' is low, but examples increase support for government data innovation.
  • Public acceptance of data science is context-dependent, with a focus on policy goals, outcomes, privacy, and unintended consequences.

Conclusions:

  • The ethical framework is a foundational step, but ongoing research is needed in areas like data minimization, algorithmic accountability, and security.
  • A renewed citizen-state data agreement is essential to maintain public trust in the use of data for social good.
  • Continued dialogue and research are crucial for navigating the evolving landscape of data science in government.