Social Biomarker Doctrine Governance

Introduction

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

The Social Biomarker Doctrine Governance refers to the legal and institutional framework for regulating the collection, interpretation, storage, and use of social biomarker information. It seeks to ensure that biological data is used responsibly and that researchers, healthcare institutions, employers, technology providers, and public authorities remain accountable for misuse or harmful decisions.

India does not have a separate statute or established judicial doctrine specifically titled “Social Biomarker Doctrine Governance.” Its legal foundations arise from constitutional privacy and equality protections, data-protection law, medical research ethics, and judicial principles concerning bodily autonomy.

Governance Framework

Effective governance should assign clear duties to each participant in the biomarker process:

Researchers and laboratories: Validate the biomarker, explain its limitations, and avoid presenting uncertain correlations as definitive conclusions.

Ethics committees: Review research design, participant selection, consent, risks, confidentiality, and plans for handling sensitive findings.

Data controllers and institutions: Limit access, secure data, specify retention periods, and prevent unauthorised secondary use.

Public authorities and employers: Avoid using biomarker scores as the sole basis for decisions affecting rights, employment, or public services.

Independent oversight bodies: Investigate complaints, audit data practices, and provide remedies where harm or misuse is established.

The ICMR National Ethical Guidelines of 2017 apply to biomedical, social, and behavioural health research involving human 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, legitimate purpose, and proportionality.

This judgment provides the central constitutional basis for social biomarker governance. Collection or use of identifiable biological information must be legally justified and proportionate, with safeguards against unauthorised disclosure or 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 examinations, and Brain Electrical Activation Profile tests violated constitutional protections, including Article 21 and, in relevant circumstances, Article 20(3).

Although the case did not directly concern social biomarkers, 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 degree of intrusion.

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

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

Sage Journals

Conclusion

Social Biomarker Doctrine Governance is an emerging framework, not a separately codified Indian legal doctrine. Its principles are drawn from constitutional privacy, equality, bodily autonomy, data-protection obligations, 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 model should require scientific validation, restricted data use, independent ethical review, secure storage, transparent accountability, and effective remedies for misuse or discrimination. Social biomarkers should serve public health and research without becoming tools for unjustified profiling or exclusion.