Definitions under the Digital Personal Data Protection Act, 2023: Legal Scope and Practical Implications 

Posted On - 23 September, 2025 • By - Jidesh Kumar

Introduction

The Digital Personal Data Protection Act, 2023 (DPDP Act) introduces a comprehensive statutory framework for processing digital personal data in India. At the heart of this framework lie its definitions, which determine the scope of compliance, the obligations of entities, and the rights of individuals. 

Unlike earlier rules under the IT Act, 2000, the DPDP Act seeks to standardize terminology, aligning it with global practices while tailoring it to India’s digital economy. This essay examines the core definitions under the DPDP Act, explains their operational significance, and highlights compliance challenges for organizations. 

“Personal Data”

Statutory Definition: The Act defines “personal data” as any data about an individual who is identifiable by or in relation to such data. 

Key Features

  • Broad scope: Includes any information that identifies an individual directly or indirectly. 
  • Contextual identification: Identifiability may depend on context (e.g., a phone number, Aadhaar, or even metadata). 
  • No special category: The DPDP Act does not separately define “sensitive personal data,” unlike GDPR or the 2011 Indian SPDI Rules. 

Compliance Implications

  • Companies must treat all personal data uniformly, irrespective of sensitivity. 
  • Raises challenges in handling highly sensitive data (e.g., health, biometrics), as no enhanced obligations exist. 
  • Expands the scope of compliance obligations for businesses beyond just financial or health information. 

“Processing”

Statutory Definition: “Processing” means a wholly or partly automated operation or set of operations performed on digital personal data. 

Key Features

  • Includes collection, storage, use, sharing, and erasure. 
  • Covers both active use (profiling, analytics) and passive retention. 
  • Applies only to digital data or data digitized after collection. 

Compliance Implications

  • Any touchpoint in the data lifecycle constitutes processing. 
  • Companies cannot avoid compliance by arguing limited or “passive” handling. 
  • Ensures accountability across cloud storage, AI-driven analytics, or customer profiling. 

“Data Fiduciary”

Statutory Definition: A “Data Fiduciary” is any person who alone or in conjunction with other persons determines the purpose and means of processing of personal data. 

Key Features

  • Equivalent to the “Controller” under GDPR. 
  • Includes private companies, startups, government departments, and NGOs. 
  • Responsibility lies with the entity deciding the “why” and “how” of processing. 

Compliance Implications

  • Fiduciaries are the primary bearers of compliance obligations (notice, consent, grievance redressal). 
  • Delegation to processors does not absolve liability. 
  • Requires strong data governance structures to define accountability internally. 

“Data Principal”

Statutory Definition: The “Data Principal” is the individual to whom the personal data relates, and in case of a child – includes the parent or lawful guardian, a person with disability – includes a lawful guardian. 

Key Features

  • Recognizes the individual as the owner of rights in their data. 
  • Introduces posthumous rights via the right to nominate another individual. 

Compliance Implications

  • Businesses must design user interfaces and consent flows that are user-friendly and multilingual. 
  • Children’s data requires verified parental consent, affecting ed-tech, gaming, and social media platforms. 
  • Organizations need to prepare for data subject requests (correction, erasure, withdrawal). 

Statutory Definition: Consent must be free, specific, informed, unconditional, and unambiguous with a clear affirmative action. 

Key Features

  • Pre-ticked boxes, silence, or inactivity do not constitute consent. 
  • Withdrawal of consent must be as easy as giving it. 
  • Notice must precede consent, available in all 22 official languages of India. 

Compliance Implications

  • Companies must build consent dashboards for users. 
  • Multi-language obligations increase compliance costs, especially for pan-India platforms. 
  • Sectors relying on implied consent (telecom, fintech) must overhaul processes. 

“Notice”

Statutory Definition: A notice must inform the data principal of the nature of personal data collected, purpose of processing, and how to exercise rights. 

Compliance Implications

  • Notices must be concise, clear, and accessible. 
  • Multi-lingual compliance is compulsory. 
  • Requires user education, particularly in semi-urban and rural markets. 

“Significant Data Fiduciary” (SDF)

Statutory Definition: The government may classify a fiduciary as an SDF based on volume and sensitivity of data processed, risk of harm to individuals, and impact on sovereignty, integrity, and electoral democracy. 

Key Features (Additional obligations:)

  • Appointing a Data Protection Officer (DPO). 
  • Conducting Data Protection Impact Assessments (DPIAs). 
  • Periodic audits by independent professionals. 

Compliance Implications

  • Likely to cover banks, telecoms, health-tech, large e-commerce firms, and government platforms. 
  • Raises compliance costs significantly. 
  • Requires creation of privacy-by-design frameworks. 

“Data Protection Board of India” (DPB)

Statutory Definition: An adjudicatory body established to enforce compliance, conduct inquiries and impose penalties, and oversee grievance redressal escalations. 

Compliance Implications

  • Companies must prepare for investigations and audits. 
  • Powers of the Board resemble a civil tribunal with quasi-judicial authority. 
  • Penalties can reach up to ₹250 crore per breach. 

“Children” and “Guardian”

Statutory Definition:

  • “Child” = individual under 18 years. 
  • Processing children’s data requires verifiable parental consent. 
  • Prohibits tracking, targeted advertising, and behavioral profiling of children. 

Compliance Implications

  • Ed-tech, gaming, and social platforms must implement age-gating and parental consent mechanisms. 
  • Raises technical and ethical challenges in verifying parental identity. 

Other Important Definitions

  • “Breach of Personal Data“: Any unauthorized access, disclosure, alteration, or loss that compromises confidentiality, integrity, or availability of personal data. Requires mandatory reporting to the Board and affected data principals. 
  • “Processing Purpose”: The lawful, specific, and limited reason for which data is collected. Prevents “function creep” – using data for secondary purposes without consent. 
  • “Intermediary”: Entities facilitating transmission or storage of data (e.g., ISPs, cloud providers). Obligated to comply if they also act as fiduciaries. 

Comparative Insights: DPDP vs. GDPR Definitions

TermDPDP DefinitionGDPR EquivalentKey Difference
Personal DataBroad, no sensitive categoryPersonal + Special categoriesDPDP less nuanced
Data FiduciaryPerson deciding purpose/meansControllerSimilar scope 
ConsentFree, informed, unambiguousExplicit for sensitive dataDPDP applies uniform standard 
SDFHigh-volume/high-riskLarge-scale processing controllersDPDP allows state discretion
ChildUnder 18Under 16 (with national flexibilityStricter in India

Practical Compliance Challenges

  1. Uniform treatment of all data – Companies must adopt higher standards across the board.
  2. Consent management at scale – Particularly difficult for platforms with millions of users.
  3. Multi-lingual notice requirements – Operational and cost burdens.
  4. Children’s data restrictions – Potentially limits innovation in ed-tech and youth-focused industries.
  5. Board’s discretion – Classification of SDFs introduces regulatory uncertainty.Conclusion 

Conclusion

The definitions under the DPDP Act, 2023 form the backbone of India’s new data protection regime. They: 

  • Expand the scope of compliance by covering all personal data. 
  • Impose fiduciary-centric accountability. 
  • Grant data principals stronger rights. 
  • Introduce a risk-tiered regulatory model through the SDF concept. 

Contributed By – Aurelia Menezes