Ethics & Research Integrity Lab
Navigate ethical dilemmas, design consent protocols, and protect your participants — built for development researchers working across South Asia.
Why Ethics Matters in Development Research
Research ethics is not a checkbox. It is about respecting the dignity, autonomy, and safety of the people who make your work possible.
When research goes wrong Illustrative
The three composite cases below are illustrative teaching scenarios — not specific real incidents — built to surface the kinds of harm that careless research design can cause.
A researcher asked detailed questions about domestic violence in a group setting where the respondent's husband was present. She faced retaliation that night. The researcher had not considered survey conditions as an ethical issue.
An anthropologist published intimate details of a community's sacred rituals without consent. The community faced ridicule and tourism exploitation. The researcher argued "it's public knowledge" — but it wasn't their public.
An NGO collected biometric data (fingerprints) for a ration programme, stored on an unencrypted laptop that was later stolen. Thousands of people's biometric identifiers were compromised — permanently.
The four core principles
Respect for persons (autonomy)
Treat people as autonomous agents. Protect those with diminished autonomy — children, prisoners, people with cognitive disabilities.
Beneficence
Maximise possible benefits and minimise possible harms. "Do no harm" is the floor, not the ceiling.
Non-maleficence
Do no harm — including physical, psychological, social, economic, and cultural harm.
Justice
Fair distribution of research burdens and benefits. Don't exploit vulnerable populations for others' gain.
Informed Consent — Beyond the Signature
Informed consent is not a form. It is a process of communication that ensures participants understand what they are agreeing to and can refuse without penalty.
Elements of valid consent (ICMR + DPDP Act 2023)
Interactive: Is this valid consent?
Choose a verdict for each scenario, then check your answers.
DPDP Act 2023 — what changed for researchers
India's Digital Personal Data Protection Act 2023 governs digital personal data. The DPDP Rules were notified in 2025 and the law is being brought into force in phases — the Data Protection Board of India was operationalised in November 2025, with most obligations expected to apply in full by 2027. Key section references:
- Consent must be free, specific, informed, unconditional, and unambiguous, given by a clear affirmative action (Section 6).
- A notice must be given before or with the consent request — describing the data, the purpose, how to exercise rights, and how to complain to the Board (Section 5).
- Processing a child's data (anyone under 18) needs verifiable parental/guardian consent; the same protection extends to persons with disabilities who have a lawful guardian (Section 9).
- Only a Significant Data Fiduciary (as notified by the government) must appoint a Data Protection Officer based in India (Section 10). Note: the DPDP Act does not create a separate "sensitive personal data" category — but caste, health, and biometric data still demand heightened care under research-ethics norms.
- The right to erasure is part of the data principal's right to correction and erasure — participants can ask you to delete their data (Section 12).
Ethical Dilemmas in the Field
Real ethics is messy. There is often no perfect answer — only better and worse ones. Let's practise.
Dilemma 1: The harmful truth
You are evaluating a government nutrition programme. Your data shows it is not working — children are still malnourished. The district collector is your gatekeeper and has been supportive. Publishing the negative findings might cost you access to future research sites and could get the collector transferred. What do you do?
Dilemma 2: The coerced participant
Your field team reports that a village sarpanch is "encouraging" (pressuring) residents to participate in your survey. Some villagers feel they can't refuse because the sarpanch controls access to ration cards. You need 200 more respondents to meet your sample size. What do you do?
Dilemma 3: The unexpected finding
During a survey on water access, a respondent discloses that a local contractor is diverting government funds. This wasn't part of your study. The respondent asks you to keep it confidential but also seems to want action. You have no whistleblowing protocol. What do you do?
Data Privacy & Security
In the digital age, protecting participant data is both an ethical obligation and a legal requirement.
The data-protection checklist
Collection
- Collect only what you need
- Never collect biometrics unless essential
- Use pseudonyms from day one
- Separate identifiers from data
Storage
- Encrypt all devices
- Use password managers
- Cloud storage: check jurisdiction
- Physical records: locked cabinets
Sharing
- De-identify before sharing
- Data-use agreements mandatory
- No open datasets with small n
- Check re-identification risk
Retention & disposal
- Keep only as long as needed
- Secure deletion protocols
- Inform participants of timeline
- Honour erasure requests promptly
Interactive: spot the privacy risk Illustrative
Review this (illustrative) research plan and rate each element's privacy risk.
- Collecting names, phone numbers, and Aadhaar numbers for participant tracking
- Recording video interviews in participants' homes
- Storing data on the researcher's personal laptop (no encryption)
- Sharing raw transcripts with an external consultant via email
- Publishing case studies with detailed demographics (age, caste, neighbourhood, occupation)
- No plan for data deletion after the study ends
- Using a WhatsApp group chat, visible to all, to send reminders
Positionality, Power & Representation
Who you are affects what you see, what people tell you, and how you interpret it. Ignoring this does not make it go away.
The positionality statement
A good researcher explicitly examines their position relative to participants:
"I am an upper-caste, urban-educated researcher from a privileged background studying caste-based discrimination in rural Bihar. My position grants me access to government officials but may create distance with Dalit participants. I mitigate this by: (1) working with Dalit research assistants, (2) spending extended time in the community, (3) sharing my own position openly, and (4) validating findings with community members."
— Example positionality statement
Interactive: build your positionality statement
Select all identities that might shape your research relationship (choose at least three):
Representation ethics
Avoid deficit narratives. "Illiterate villagers" vs "people with rich oral traditions and local knowledge who haven't had access to formal schooling."
Never use photos of participants without explicit consent for SPECIFIC uses. "Poverty porn" — images that emphasise suffering for donor appeal — is exploitative.
Co-authorship with community researchers, participatory analysis, and community review of findings are ways to share power.
Ethics Review & Institutional Compliance
Institutional Ethics Committees (IECs) are not obstacles — they are guardrails. But they only work if you engage with them honestly.
The IEC process in India
Step 1: Protocol development
Write a detailed protocol: objectives, methodology, participant selection, consent process, data handling, risk assessment, and benefit-sharing plan.
Step 2: IEC submission
Submit to a registered IEC. Include: protocol, consent forms, data tools, researcher CVs, and (where relevant) insurance details.
Step 3: IEC review
Full-board review for higher-risk research; expedited review for minimal risk. Common feedback: clarify consent, reduce data collection, add safeguards.
Step 4: Approval & registration
Approval letter with conditions. Register clinical trials on CTRI (before enrolment). For social research: retain approval documentation.
Step 5: Ongoing reporting
Report adverse events, protocol deviations, and withdrawals. Continuing review annually for long studies.
Step 6: Study closure
Final report to the IEC. Data-destruction confirmation. Participant debriefing. Publication ethics (authorship, conflicts of interest).
When IEC approval is NOT enough
- the survey setting changes (private → public, safe → unsafe);
- a participant shows distress the protocol didn't anticipate;
- power dynamics emerge that weren't in the protocol;
- new information suggests the research might cause harm.
Interactive: ethics-review simulation Illustrative
You are reviewing an (illustrative) proposal for an IEC. Tick every item that is a genuine ethical issue — not just a methodological preference.
Lab complete
You now have the ethical framework to design research that respects participants, protects data, and navigates complex field dilemmas.
- Ethics is a process, not a checkbox
- Informed consent requires comprehension, not just a signature
- Power dynamics in South Asia demand extra vigilance
- Data privacy is both ethical and legal (DPDP Act 2023)
- Positionality shapes everything — name it, don't hide it
- IEC approval is necessary but not sufficient
- When in doubt, prioritise participant welfare over research objectives