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DPDP Insights › Central government: ministries and departments › Product head

DPDP for the Product head in Central government

Reviewed by InfraVeritas360 ResearchFirst published Last reviewed

Sources: DPDP Act, 2023 and DPDP Rules, 2025 (MeitY) · MeitY · MeitY · MeitY · SFLC.in summary

In a department, the product owner is usually the officer or team that owns a portal or app. Every new form or feature is a new collection point.

Written for: Product head, Central government: ministries and departments. Open this seat in the interactive tool

What is different here

Change requests often come from a guideline revision or a new reporting need, and each one tends to add fields. Under Rule 5 every field must be needed for the scheme's purpose. Citizens also need a clear contact for questions and corrections inside the service itself.

The first four things to sort out

  1. Ask four questions on every change request: what data, why, how long, who sees it.
  2. Drop fields that eligibility or delivery does not need.
  3. Show a short notice and the nodal officer's contact on every form.
  4. Give citizens a way to see and correct their details.

A worked example

Product head

An app update asks for location at every login

  1. BriefA change request asks the scheme app to capture the applicant's location at every login.
  2. ReviewThe team asks why. Location is needed only once, to confirm the district at the time of application.
  3. BuildThe app asks for location once, with a short line explaining why, and does not store login locations.
  4. AfterThe notice in the app is updated and the change is recorded in the version log.

Evidence kept

  • Change request
  • Review note
  • Notice version

Collect data at the moment it is needed, and only then.

What others in the sector usually do. Some portal teams now attach a field-by-field reason to each change request before it goes to the integrator.

Where it usually goes wrong, by organisation type

Organisation typeHotspots
Ministry of Ports, Shipping and Waterways and its officesPort entry passes with ID copies held by many parties; Seafarer records shared with training institutes and agencies; Terminal operator systems outside the ministry's direct control
Ministry of Road Transport and Highways and its officesBulk or API access by private entities; Accident and challan data; Toll and FASTag transaction data with vendors
Ministry of Chemicals and Fertilizers and its departmentsAadhaar authentication at retailer PoS devices; Farmer purchase data visible to companies and dealers; Kendra operators holding prescriptions and customer details
Other line ministries and departmentsBeneficiary lists published or shared in spreadsheets; System integrators with admin access; Grievance records with personal details
Citizen portals and DBT schemesAadhaar numbers stored outside a data vault; Bulk beneficiary data sent to states by email; Dashboards showing names and amounts publicly
Regulators and statutory bodiesOrders and filings published with personal details; Complaint data shared with regulated entities; Investigation files on shared drives

10 questions the Product head asks, answered in full

How should scheme systems handle Aadhaar numbers?

Short answer: Vault, mask, never publish

Use Aadhaar only where a law or notification allows it, store the number only in an Aadhaar Data Vault, show it masked on screens and in reports, and never publish it. Core biometric information must never be shared. Authentication devices at the field level need vendor and operator controls.

What the law says

Aadhaar Act Sections 7 and 29 and UIDAI rules, with DPDP Section 8(5). Section 8(5) · Rule 6 · Section 7

Steps
  1. Find every place Aadhaar numbers are stored.
  2. Move them to a vault with reference keys.
  3. Mask on screens, reports and files.
  4. Check PoS and field device vendors.
  5. Log access to the vault.
Evidence to keep
  • Vault design
  • Masking evidence
  • Access logs
Common mistakes
  • Aadhaar in spreadsheets
  • Full numbers on dashboards
  • Field operators keeping copies

Can we share data with states, banks or other ministries?

Short answer: Yes, with a written basis, minimum fields and a log

Yes, where the scheme or a law needs it, through a written MoU or order that sets the purpose, the fields, security and retention. Share the minimum, through logged channels, and record each transfer. Bulk sharing with private parties needs a clear legal basis and should mask personal details where possible.

What the law says

Section 7 bases, Section 8(1) for processors, Section 8(5) for safeguards. Section 7 · Section 8(1)–(2) · Section 8(5) · Rule 6

Steps
  1. List every outgoing data flow.
  2. Write an MoU or order for each.
  3. Cut fields to the minimum.
  4. Use logged channels.
  5. Review flows yearly.
Evidence to keep
  • Flow register
  • MoUs
  • Transfer logs
Common mistakes
  • Email attachments
  • Full data when counts would do
  • No MoU

How do we build privacy into a new product or system?

Short answer: Four questions at design, then build the basics in

Ask four questions at the design stage: what personal data, why, for how long, and who sees it. Then build in what the Act assumes: a notice, consent where needed, role-based access, logs of record views, a way to delete, and a way to answer requests. Adding these after launch costs far more.

From your seat: Product head. Add four questions to every feature brief: what data, why, how long, who sees it.
What the law says

Sections 5 to 12 assume systems that can show notices, record consent, limit access, log, delete and answer requests. Section 5 · Rule 3 · Section 6 · Section 8(5) · Rule 6 · Section 8(7) · Rule 8 · Sections 11–14 · Rule 14

Steps
  1. Add the four questions to design templates.
  2. Drop data you do not need.
  3. Build access roles and record-view logs.
  4. Build deletion and request export.
  5. Register the system in the inventory at launch.
Evidence to keep
  • Design review records
  • Inventory entries
  • Deletion tests
Common mistakes
  • Privacy review only at launch
  • Collecting 'in case we need it'
  • No delete function

Can we use customer data for analytics and models?

Short answer: Yes, within the purpose or with consent

Yes, where the use fits the purpose people were told, or you have consent for it. Improving the service people signed up for usually fits. Selling insights, profiling for third parties or targeting children does not. Mask or aggregate wherever the question allows, and give analysis copies their own deletion date.

From your seat: Product head. Product analytics needs a basis like any other use.
What the law says

Section 4 needs a lawful basis for each purpose. Section 6 needs specific consent. Section 9 bars behavioural monitoring of children. Section 8(3) asks for accuracy when data drives decisions. Section 4 · Section 6 · Section 9 · Rules 10, 12 · Section 8(3)

Steps
  1. Write the question and the data needed.
  2. Check the purpose people were told.
  3. Mask or aggregate by default.
  4. Get consent for uses outside the purpose.
  5. Set a deletion date for the copy.
Evidence to keep
  • Purpose checks
  • Data specifications
  • Retention entries
Common mistakes
  • Using all data because it is there
  • Analysis copies with no end date
  • Profiling children

What should our privacy notice say, and where must people see it?

Short answer: Yes, at every point where you collect data

A notice must tell people, in plain words, what data you collect, why, how they can withdraw consent, how they can use their rights and how they can complain to the Data Protection Board. It has to stand on its own, separate from long terms and conditions, and be shown at the point where data is collected.

From your seat: Product head. The notice must change when the feature changes what you collect.
Example in Central government

A scheme portal should show what data is collected, why, and a contact for questions and corrections, even where consent is not the basis.

What the law says

Section 5 and Rule 3 ask for a notice that can be understood on its own, with an itemised list of the data and the purpose for each item. Data you already hold from before the Act also needs a notice, as soon as reasonably practicable. Section 5 · Rule 3 · Section 6 · Sections 11–14 · Rule 14

Steps
  1. List every point where personal data comes in: forms, apps, counters, calls, emails, partner feeds.
  2. Write one short notice per collection point, with the data items and purpose side by side.
  3. Add how to withdraw consent, how to make a request and the DPO or contact person's details.
  4. Offer the notice in English and in the languages your citizens and beneficiaries actually use.
  5. Keep each version with the date it went live.
Evidence to keep
  • Screenshots or copies of the notice at each collection point, with dates
  • Notice version history
  • Translations, where used
Common mistakes
  • Hiding the notice inside terms and conditions
  • One notice for everything, with no link between data items and purposes
  • Forgetting old data collected before the Act

Someone withdraws consent. What has to stop, and how fast?

Short answer: Stop that use quickly, across every system and vendor

Withdrawal must be as easy as giving consent. Once someone withdraws, you and every vendor working for you must stop that use within a reasonable time. What was done before withdrawal stays lawful, and data that a law requires you to keep is kept.

From your seat: Product head. Withdrawal should take the same number of taps as giving consent.
Example in Central government

Where consent was the basis, such as newsletters, withdrawal must work.

What the law says

Section 6(4) to 6(6) give the right to withdraw at any time, with the same ease, and require processors to stop as well. Section 8(7) then asks for erasure unless a law requires retention. Section 6 · Section 8(7) · Rule 8 · Section 8(1)–(2)

Steps
  1. Give one simple way to withdraw on every channel where consent is taken.
  2. Record the withdrawal against the person and the purpose.
  3. Push the change to every system and vendor that uses that purpose.
  4. Confirm to the person, in writing, what has stopped and what is kept by law.
  5. Check a sample every month to see that the change actually reached every list.
Evidence to keep
  • Withdrawal log with time stamps
  • Proof that downstream systems and vendors updated
  • Confirmation sent to the person
Common mistakes
  • Withdrawal by email only, while consent was one tap in an app
  • Stopping in the main system but not in vendor lists
  • Deleting records a law requires you to keep

Do we process children's data, and what changes if we do?

Short answer: Check every channel; children often appear where you least expect

Anyone under 18 is a child under the Act. For a child's data you need verifiable consent from a parent or lawful guardian, and you must not track, behaviourally monitor or show targeted ads to children. Some classes and purposes are exempt under Rule 12 and the Fourth Schedule, for example healthcare to the extent needed to protect the child's health, and educational institutions for their educational work.

From your seat: Product head. If children can sign up, plan parent consent and no tracking.
Example in Central government

Scholarship, nutrition and school schemes involve children; Fourth Schedule exemptions may apply to some purposes.

What the law says

Section 9 sets the duties. Rule 10 explains how to verify the parent. Rule 12 and the Fourth Schedule list the exemptions. Section 9 · Rules 10, 12 · Section 6

Steps
  1. Find where children's data enters: customers, dependants, interns, visitors, scholarships, app sign-ups.
  2. Decide whether an exemption in the Fourth Schedule applies to that purpose.
  3. Where none applies, add an age question and a parent-consent step.
  4. Switch off tracking and targeted ads for under-18 users.
  5. Record the decision for each channel.
Evidence to keep
  • Channel-by-channel note on children's data
  • Parent-consent records
  • Ad and tracking settings
Common mistakes
  • Assuming 'we are B2B, so no children'
  • Using the age 13 or 16 from foreign laws
  • Treating a tick-box from the child as parental consent

Do we need a Data Protection Impact Assessment?

Short answer: Required only for SDFs; good practice for high-risk changes

By law, only Significant Data Fiduciaries must do a yearly impact assessment. For everyone else it is good practice for high-risk changes: new tracking, profiling, large data sharing, children's data or moving data abroad. A short assessment before the change is cheaper than fixing it later.

From your seat: Product head. New features that profile or track people need an assessment.
What the law says

Section 10 and Rule 13 require a yearly impact assessment for Significant Data Fiduciaries. Section 10 · Rule 13 · Section 9 · Rules 10, 12 · Section 16 · Rule 15

Steps
  1. Define what counts as a high-risk change for you.
  2. Use a two-page template.
  3. Record the data, purpose, risks and safeguards.
  4. Get the DPO's view before approval.
  5. Keep it with the project record.
Evidence to keep
  • Assessment template
  • Completed assessments
  • DPO views
Common mistakes
  • Treating it as paperwork after launch
  • A 40-page template nobody completes
  • No trigger list

Someone asks what data we hold about them. What do we send?

Short answer: Yes, a clear summary, inside the published timeline

Send a summary of the personal data you hold about them and what you do with it, and the names of the other organisations you shared it with and what was shared. Check the person's identity first, log the request and keep a copy of your reply.

From your seat: Product head. Design a way for users to see and download their data.
Example in Central government

A beneficiary can ask what the department holds and who it was shared with, such as states and banks.

What the law says

Section 11 gives the right to a summary and the list of organisations it was shared with. Rule 14 asks you to publish how requests are made and to answer within the period you publish. Sections 11–14 · Rule 14 · Section 8(9)–(10) · Rules 9, 14

Steps
  1. Log the request in one register the day it arrives.
  2. Verify identity using details you already hold.
  3. Search every system, including vendors' copies.
  4. Write a plain summary: what data, why it is used, who received it.
  5. Send it, and file the request, search notes and reply.
Evidence to keep
  • Request register
  • Search notes for each request
  • Copy of each reply with date
Common mistakes
  • Sending raw database dumps
  • Forgetting data held by vendors
  • No identity check before sending

The sections you will use most

Other rules that sit alongside DPDP

RuleWhat it saysWhat it means alongside DPDPSource
DPDP Act, Section 7(b) and 7(c) with Rule 5 and the Second ScheduleThe State may process personal data without consent to provide a subsidy, benefit, service, certificate, licence or permit, and to perform functions under law. Rule 5 asks that this processing follow the Second Schedule standards: lawful, for the stated use, limited to necessary data, accurate, kept only as long as needed, secured, and with a contact for questions and rights.Consent is not the basis for most scheme work. The standards are, and they need evidence.MeitY
DPDP Act, Section 17(4)For processing by the State, Section 8(7) (erasure) and Section 12(3) (erasure on request) do not apply, and where no decision affecting the person is made, Section 12(2) does not apply either.Retention follows public records rules rather than DPDP erasure. Security, accuracy, breach reporting and grievance duties still apply.MeitY
DPDP Act, Section 17(2)The Central Government may exempt notified instrumentalities for sovereignty, security, public order and related interests, and processing for research, archiving or statistics that does not lead to decisions about individuals.An exemption applies only if notified. Do not assume it.MeitY
RTI Act, Section 8(1)(j), as amended by DPDP Section 44(3) (in force 13 November 2025)Personal information is now exempt from disclosure under RTI, without the earlier public-interest test.Train CPIOs on the new wording; the amendment is being challenged before the Supreme Court, so watch for changes.SFLC.in summary
Public Records Act, 1993 and Public Records Rules, 1997Central government records may be destroyed only under approved record retention schedules.Erasure of personal data in files follows these schedules, since Section 17(4) lifts DPDP erasure for the State.National Archives of India
Aadhaar Act, 2016Section 7 allows Aadhaar for subsidies and benefits. Section 29 limits sharing of Aadhaar numbers and core biometric information. UIDAI asks entities storing Aadhaar numbers to keep them in an Aadhaar Data Vault.Scheme systems should store Aadhaar numbers only in a vault and show them masked.UIDAI
CERT-In Directions, 2022 and IT Act Section 70Report cyber incidents within six hours; keep ICT logs 180 days in India. Systems declared as protected systems under Section 70 come under NCIIPC.Ministries and their portals follow these in addition to DPDP.CERT-In
MeitY Email Policy and IT resources policy for GovernmentOfficial communication should use government email and approved resources.Personal email and chat apps for files with citizen data break both these policies and DPDP safeguards.MeitY
Guidelines for Indian Government Websites (GIGW)Government websites must carry standard policies, including a privacy policy.Update website privacy policies to DPDP notice standards with the contact person.MeitY / NIC
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