Social Biomarker Governance Accountability Doctrine

Introduction

Social biomarkers are measurable biological indicators that may reveal how social conditions—such as poverty, chronic stress, discrimination, pollution, or social isolation—affect human health. They may be used in health research, public-health planning, and community risk assessment.

The Social Biomarker Governance Accountability Doctrine can be understood as an emerging framework that assigns responsibility for collecting, interpreting, storing, and using social biomarker data. It seeks to ensure that researchers, laboratories, public authorities, employers, and data-processing institutions act lawfully and remain answerable for errors, privacy violations, and discriminatory outcomes.

India has no separately codified doctrine with this exact title. Its legal foundations are derived from constitutional privacy and equality, data-protection law, medical research ethics, and judicial principles governing bodily autonomy.

Core Principles and Governance

The doctrine may be developed through the following principles:

Informed consent and lawful collection: Participants should understand the purpose, risks, and possible secondary use of their biological information. Any compulsory collection requires valid legal authority.

Scientific validity: Biomarker systems should be independently validated. A correlation between a biomarker and a social condition must not be treated as conclusive proof about an individual.

Purpose limitation: Data collected for health research should not automatically be used for employment screening, insurance profiling, policing, or welfare eligibility.

Privacy and security: Institutions should minimise identifiable data, restrict access, protect it against unauthorised disclosure, and establish retention limits.

Non-discrimination: Governance must assess whether biomarker-based decisions disproportionately disadvantage marginalised communities.

Accountability and remedy: Researchers, laboratories, public authorities, and data processors should have clear duties, audit procedures, complaint mechanisms, and remedies for harm.

The ICMR National Ethical Guidelines for Biomedical and Health Research involving Human Participants apply to research involving participants, biological materials, and data. They emphasise dignity, transparency, ethical review, and evaluation throughout the research process.

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Important Case Laws

1. Justice K.S. Puttaswamy (Retd.) v. Union of India, (2017) 10 SCC 1

The Supreme Court recognised privacy as a fundamental right under Article 21 and other constitutional freedoms. It held that State interference with privacy must satisfy legality, a legitimate aim, and proportionality.

This judgment provides the central constitutional foundation for social biomarker accountability. Collection and use of identifiable biological information must be legally justified and proportionate, with safeguards against misuse and excessive retention.

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2. Selvi v. State of Karnataka, (2010) 7 SCC 263

The Supreme Court held that involuntary narco-analysis, polygraph examination, and Brain Electrical Activation Profile tests violated constitutional protections, including Article 21 and, in relevant circumstances, Article 20(3).

Although the case did not concern social biomarkers directly, it establishes that scientific testing cannot override bodily autonomy and constitutional rights. Compulsory biomarker testing must therefore be examined for consent, legal authority, and the nature of the intrusion.

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3. Puttaswamy v. Union of India (Aadhaar), (2019) 1 SCC 1

The Aadhaar judgment considered biometric data collection and the risks of linking personal information across databases. Its reasoning is relevant where social biomarker data is connected with employment, insurance, welfare, or demographic databases. Such linkage may enable profiling and requires lawful purpose and adequate safeguards.

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Conclusion

The Social Biomarker Governance Accountability Doctrine is an emerging framework, not a separately codified Indian legal doctrine. Its foundations lie in constitutional privacy, equality, bodily autonomy, data-protection law, and research ethics.

The judgments in Puttaswamy and Selvi support lawful and proportionate data collection, respect for consent, and protection against arbitrary biological testing. A sound governance framework should require scientific validation, restricted data use, independent ethical review, secure storage, transparent responsibility, and effective remedies for misuse or discrimination. Social biomarkers should support public health and research without becoming tools for unjustified profiling or exclusion.