Module V·Article III·~7 min read

Research Ethics

Philosophy of Research

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Why is Ethics Important in Research?

Research ethics is a system of principles and rules regulating the behavior of the researcher towards participants, the scientific community, and society as a whole. Ethical violations can lead to serious consequences: harm to participants, loss of trust in science, legal liability, and discrediting of the researcher.

Historically, the necessity for ethical standards was recognized after a series of scandalous experiments:

  • Nuremberg Code (1947) — adopted after Nazi medical experiments; established the principle of voluntary consent
  • Milgram Experiment (1963) — participants experienced serious psychological stress
  • Stanford Prison Experiment (1971) — went out of control, causing psychological harm to participants
  • Tuskegee Study (1932-1972) — African-American men did not receive treatment for syphilis without their knowledge

These cases led to the creation of the Belmont Report (1979), which laid the foundation for modern research ethical principles.

Key Ethical Principles

Respect for Persons

This principle includes two components:

  • Autonomy — recognition of the individual's ability to make independent decisions regarding participation in research
  • Protection of Vulnerable Groups — additional measures for people with limited autonomy (children, those with cognitive impairments, prisoners)

In practice, this means: a participant must understand the essence of the research and have the opportunity to freely refuse participation without any consequences.

Beneficence

The principle of beneficence requires:

  • Maximizing benefit — the research should bring significant results for science and society
  • Minimizing harm — potential risks to participants must be reduced to a minimum
  • Balance of benefit and risk — expected benefits must outweigh possible risks

Justice

The principle of justice means:

  • Equal distribution of burden — the burden of research should not disproportionately fall on vulnerable groups
  • Equal access to benefits — research results should be accessible to all interested groups
  • Fair selection of participants — inclusion/exclusion criteria must be scientifically justified, not dictated by convenience or prejudice

Avoidance of Harm

The researcher is obliged to minimize all types of potential harm:

Type of HarmDescriptionExample
PhysicalBodily injury, fatigue, discomfortLong laboratory sessions without breaks
PsychologicalStress, anxiety, recalling traumaQuestions touching on painful experiences
SocialStigmatization, reputational damage, disruption of relationshipsDisclosure of information about group affiliation
EconomicFinancial losses, foregone benefitProlonged participation without compensation for work time

Principle of proportionality: the level of permissible risk must correspond to the scientific value of the research. Studies with minimal risk (e.g., anonymous surveys) require less protection than studies with substantial risk.

Informed Consent

Informed consent is a process in which a potential participant receives full information about the study and makes a voluntary decision to participate.

What should informed consent include:

  • Purpose of the study — general description of what is being studied and why
  • Procedures — what exactly will be required from the participant (time, actions)
  • Risks and discomforts — possible negative consequences of participation
  • Benefits — what the participant or society will gain from the study
  • Confidentiality — how participant data will be protected
  • Voluntariness — the right to refuse or withdraw from the study at any moment without consequences
  • Contact information — whom to contact with questions or complaints

Special cases

  • Covert observation — permitted only in public spaces when there is no risk to those observed
  • Deception — allowed only in exceptional cases, when knowledge of the research purpose would distort behavior, with mandatory debriefing
  • Children and minors — requires parental/guardian consent and, as appropriate, assent from the child

Confidentiality and Anonymity

Confidentiality — the researcher’s obligation not to disclose data allowing the identification of the participant. The researcher knows who provided the data but does not reveal this information.

Anonymity — a stricter standard: even the researcher cannot link specific data to a particular participant. Full anonymity is possible in online surveys without collecting identifiers.

Practical measures to ensure confidentiality:

  • Using pseudonyms instead of real names
  • Aggregating data — presenting results only at the group level
  • Changing identifying details — name of the organization, city, specific job titles
  • Secure storage — encryption of files, access restriction, separate storage of data and identification keys

Data Protection and GDPR

General Data Protection Regulation (GDPR) of the European Union sets strict requirements for the processing of personal data, including research data:

  • Lawful basis — lawful basis is required to process data (consent, legitimate interest, scientific research)
  • Data minimization — collect only data necessary for the purposes of the research
  • Purpose limitation — data used only for declared purposes
  • Accuracy — data must be current and correct
  • Storage limitation — data kept no longer than necessary
  • Integrity and confidentiality — provision of technical and organizational protection measures
  • Data subject rights — right to access, correct, delete their data

Researchers are advised to develop a Data Management Plan describing procedures for collecting, storing, processing, and destroying data.

Ethical Approval

Institutional Ethics Committees (Ethics Committees / IRB)

Most universities and research organizations have research ethics committees that review and approve research projects before data collection begins.

Process for obtaining ethical approval:

  1. Application preparation — description of the study, participants, procedures, risks, and protective measures
  2. Document submission — application, informed consent, data collection tools (questionnaires, interview guides)
  3. Review — the committee assesses ethical aspects and may request changes
  4. Decision — approval, approval with conditions (need to make modifications), or rejection
  5. Monitoring — during the research, audits may occur; significant changes to the design require renewed approval

Review Levels

  • Exempt — minimal risk, anonymous data, public information
  • Expedited — moderate risk, standard procedures
  • Full review — high risk, vulnerable groups, invasive procedures

Ethical Specifics of Qualitative Research

Qualitative studies create specific ethical challenges:

  • Closeness of relationships — prolonged interaction with participants can create emotional dependency; boundaries of the researcher’s role may blur
  • Unpredictability of data — participant may reveal unexpected information (about violence, illegal activity), presenting the researcher with an ethical dilemma
  • Identifiability — detailed descriptions of experience and context may allow identification even if the name is changed
  • Interpretation — the researcher interprets participant statements, and there is a risk of distorting their meaning
  • Exit from the field — ending the study may be painful for participants accustomed to the researcher’s attention

Ethics of Digital and Online Research

The digital environment raises new ethical issues:

  • Public vs. private — are social media posts public data? Users may not realize their content is being used in research
  • Online informed consent — how to ensure genuine understanding with online consent (the participant may not read the terms)
  • Digital footprints — IP addresses, metadata, cookies may breach anonymity
  • Collection of data from social networks — scraping data without consent causes serious ethical concerns
  • Interjurisdictional differences — online studies may involve participants from different countries with different legal regulations
  • Artificial intelligence — using AI for data analysis raises questions of transparency and algorithmic bias

Recommendations:

  • Treat online data as potentially private unless there are clear grounds to believe otherwise
  • Obtain consent when technically possible
  • Apply the principle of data minimization — do not collect more than necessary
  • Consider platform specifics and users’ privacy expectations

Practical Exercises

Exercise 1: Ethical Analysis

Read the following scenario and identify all ethical issues:

A researcher wants to study employees' attitudes toward company management. He made arrangements with the HR director, who provided a list of employees’ email addresses. The researcher sent out a questionnaire stating that participation is mandatory by order of management. Results were presented to the HR director with each employee's responses specified.

Solution:

Ethical violations:

  1. Violation of voluntariness — participation is presented as mandatory, violating the principle of autonomy
  2. Violation of confidentiality — individual responses are disclosed to the HR director
  3. Potential harm — employees may suffer negative consequences for critical responses
  4. Lack of informed consent — no description of purpose, risks, protective measures for data
  5. Conflict of interest — the HR director has a direct interest in results, which may affect data usage
  6. Violation of justice principle — participation burden falls on subordinates, while management receives the benefit

Exercise 2: Drafting Informed Consent

Draft the main points of an informed consent form for the study: “The Impact of Remote Work on Work-Life Balance: Experience of IT Company Employees.”

Solution:

The form should include:

  1. Title and purpose — study of the impact of remote work on work-life balance
  2. Procedures — semi-structured interview lasting 45-60 minutes, audio recording with permission
  3. Risks — minimal; possible discomfort when discussing work challenges
  4. Confidentiality — pseudonyms, changing the company name, secure data storage
  5. Voluntariness — right to refuse to answer any question or withdraw from the study
  6. Data use — academic purposes only (dissertation, publications)
  7. Data storage — audio recordings will be deleted after transcription, transcripts kept for 5 years
  8. Contacts — researcher’s details and ethics committee contacts

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