DPDP Guru · Reading library
Privacy journal
Practical, source-backed reading on privacy, people and the work around personal data.
9 articles · Research cutoff 22 October 2026 · Published 3 November 2026. Each article has one main publishing site, visible references and related reading.
Foundations and commencement
DPDPHQ · DPDP Guru · 4 min read
What counts as personal data in an ordinary Indian business?
Recognise personal data in invoices, staff records, support tickets and device information, and understand why removing a name may not make a record anonymous.
Consent and notice
DPDPHQ · DPDP Guru · 4 min read
How to prepare notices for customers who read different languages
Prepare multilingual privacy notices with accurate meaning, working action routes and a review process that keeps translations aligned when purposes change.
Rights and grievances
DPDPHQ · DPDP Guru · 4 min read
How to explain a partial refusal of a privacy request
Explain a partly fulfilled privacy request with category-specific reasons, completed actions and a usable grievance route, without hiding behind a broad legal disclaimer.
DPDPHQ · DPDP Guru · 4 min read
What Data Principal duties mean without using them to deter requests
Explain Data Principal duties accurately while preserving a welcoming request process and avoiding threats about penalties for ordinary errors or disagreements.
Retention and deletion
DPDPHQ · DPDP Guru · 4 min read
Deleting an account is not the same as deleting its data
Explain what account deletion actually removes, how lawful retention and processor copies affect erasure, and how to avoid misleading completion messages.
Education and children
DPDPHQ · DPDP Guru · 4 min read
Schools should separate learning records from promotional activity
Keep educational records, safety-related processing and promotional activity distinct in school systems and staff access.
Employment and service sectors
DPDPHQ · DPDP Guru · 4 min read
Freelancers can build useful privacy practices without a large budget
Build a small set of maintainable privacy practices around the client workflows a freelancer actually runs.
AI and product decisions
DPDPHQ · DPDP Guru · 4 min read
Why masking a name may leave a person identifiable
Assess the remaining context and linkage after masking a name, instead of treating a cosmetic change as proof of anonymity.
DPDPHQ · DPDP Guru · 4 min read
How to use synthetic examples without pretending they are real customers
Use clearly labelled synthetic examples for testing and explanation, while keeping their provenance and privacy limits explicit.