For scoped procurement and governance engagements

NDPC REGISTERED · NDPC/DCP/13596

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AI training data compliance support for Nigeria.

BSG DataWorks helps teams procuring, collecting, or licensing human-sourced AI training data in Nigeria translate project requirements into practical consent, provenance, governance, and diligence evidence. Our support is operational; your legal advisers remain responsible for legal interpretation and project-specific legal advice.

Support scope

Operational support for the decisions around AI training data.

Bring us in before commissioning, while reviewing an existing dataset, or when a procurement or governance team needs a more disciplined evidence trail. The scope is agreed around the project; it is not a blanket certification of legal compliance.

01 / BEFORE COLLECTION

New data programmes

Turn planned collection activity into a clearer contributor-information, consent, provenance, and documentation approach before fieldwork begins.

02 / BEFORE PROCUREMENT

Vendor and dataset diligence

Structure the operational questions buyers and governance teams can ask about source, rights, contributor records, data flows, and intended AI use.

03 / BEFORE LICENSING

Dataset readiness review

Identify evidence gaps and practical safeguards to address before a data buyer, adviser, or internal reviewer examines the project.

Where this helps

Governance work grounded in how data is actually collected.

Our perspective starts with the operational decisions that affect a dataset's evidence trail, rather than with generic policy language alone.

Procurement preparation

Help teams frame practical supplier questions and define the evidence they need to review before commissioning or licensing training data.

Consent and contributor design

Support workflows for written, informed participation records that connect the collection purpose, commercial AI use, and the agreed data handling approach.

Data provenance documentation

Make the route from recruitment and collection through QA, dataset assembly, and delivery easier to explain and assess.

Risk and safeguards review

Surface potential sensitive-data, biometric-data, re-identification, and data-flow questions early enough to address them with the right project owners and advisers.

Governance artefacts

Evidence designed around the project, not a generic checklist.

The final scope depends on the data type, collection method, participant profile, intended model use, buyers, and delivery route. These are common operational areas a team may ask us to document or review.

Consent and contributor records

  • Written participation and consent workflow
  • Clear project, data-use, and licensing context
  • Versioned consent and contributor-record approach
  • Escalation points where consent needs professional review

Provenance and dataset evidence

  • Source, recruitment, and collection-method narrative
  • Collection, QA, and dataset-assembly record structure
  • Documentation of agreed use and licence conditions
  • Traceable evidence prepared for scoped diligence

Sensitive data and re-identification safeguards

  • Early flagging of potential biometric or sensitive-data questions
  • Data-minimisation and access-control considerations
  • Project documentation that prohibits re-identification
  • Clear boundaries for data use and onward handling

Data flows and buyer diligence

  • Processing parties, operational roles, and delivery route
  • Planned processing, storage, and transfer questions
  • Buyer-facing governance and due-diligence materials
  • Items that should be assessed by the buyer's legal advisers

Working method

From a project brief to a clearer evidence trail.

We focus on making operational facts visible and reviewable. We do not replace your legal counsel, data-protection officer, or regulatory obligations.

Scope

Clarify the data, intended AI use, project stage, markets, participant profile, and the questions the buyer or governance team needs answered.

Map

Identify the collection path, supporting records, parties, data flows, delivery expectations, and potential sensitive-data or re-identification issues.

Document

Turn the agreed operational facts into practical consent, provenance, governance, or diligence materials within the defined engagement scope.

Hand over

Provide the agreed materials and outstanding questions so project owners and professional advisers can make informed next decisions.

Frequently asked questions

Questions procurement and governance teams ask.

Is this legal advice or a legal-compliance certification?

No. BSG DataWorks provides operational support for AI training data projects and does not provide legal advice, act as a law firm, or issue a universal certification that a project or dataset is legally compliant. Your organisation should obtain independent advice for its particular obligations and risk decisions.

What Nigerian regulatory context do you consider?

Our operational planning takes account of the Nigeria Data Protection Act 2023 and relevant NDPC guidance, including the 2025 General Application and Implementation Directive. The legal obligations that apply depend on the facts of each project, including the parties, data, purpose, and data flows. Read the NDPC's published GAID 2025.

Is BSG DataWorks registered with the NDPC?

Yes. BSG DataWorks is registered with the Nigeria Data Protection Commission as NDPC/DCP/13596. That registration does not replace a buyer's own compliance, governance, or legal-review responsibilities.

How do you approach biometric or potentially sensitive data?

We treat these as early project-risk questions rather than ordinary data points. We can help identify the relevant collection and documentation questions, apply a data-minimisation mindset, define a no-re-identification boundary for the project, and flag issues that require assessment by the responsible data-protection and legal professionals.

Can a buyer receive contributor identity information?

Not as a default. The project should be designed around a no-re-identification principle: the buyer's permitted use should not ask or allow contributors to be re-identified from the dataset or linked records. Any exception would need a clearly defined lawful and operational basis and appropriate professional review.

Can you support cross-border delivery or international buyers?

We can map the intended parties, delivery route, and questions about onward handling so they are visible in the project record. The applicable legal requirements and transfer mechanisms must be determined by the responsible organisations and their legal advisers.

Begin with your project context

Start an AI training data compliance brief.

Share the operational context you have. We will help clarify the questions, evidence, and specialist review your project may need.

A useful first email includes

  • Dataset or data type and intended model use
  • Project stage, markets, and expected collection or licensing route
  • Participant profile and any potential sensitive or biometric data
  • Planned parties, roles, delivery destinations, and data flows
  • Existing consent, provenance, policy, or diligence materials
  • Decision deadline and procurement or licensing context, if known

If you do not have all of this yet, send what you have. We can help structure the next questions on a call.

Prefer to write directly? dataservices@bsgdataworks.com

WhatsApp only: +234 806 790 4903

Start a compliance brief by email