Purpose & Vision
We believe that responsible data collection and computation can illuminate truth, drive better decisions, and accelerate positive change — but only when it is coupled with transparency, proportionality, and respect for individual rights. This document sets out the principles that guide every project, partnership, and line of code we author.
"Without ethics, you're just another person with a dataset." — Watchdog credo
Scope
This Manifest applies to all team members, contractors, and partners who handle data under the Watchdog umbrella, across every geography and legal regime in which we operate.
Core Principles
| Principle | Why it Matters | Our Commitment |
|---|---|---|
| Legitimacy | Data must serve a clearly defined, lawful purpose. | Every collection activity is mapped to a documented use-case and legal basis. |
| Minimalism | Collect only what is necessary to fulfil that purpose. | We design ingestion pipelines that default to exclusion, not inclusion. |
| Accountability | People, not abstractions, are responsible. | Named project leads sign off on risk assessments and post-mortem reviews. |
| Transparency | Trust thrives on visibility. | We maintain auditable logs and publish plain-language summaries of our processing activities. |
Professional Tools
We leverage industry-grade, security-hardened platforms that meet or exceed ISO 27001, ISO 42001 requirements. Tool selection is reviewed quarterly against the following checklist:
- Encryption-in-Transit & at-Rest (AES-256 or better)
- Role-Based Access Control (RBAC) with MFA
We do not employ shadow-IT, freeware lacking security attestation, or closed black-box models whose risk cannot be quantified.
Code of Conduct
All personnel agree to the following behavioural charter:
- Integrity First — No data manipulation aimed at misleading stakeholders.
- Speak Up Duty — Flag anomalies, biases, or security gaps immediately.
- Conflict-of-Interest Disclosure — Financial, personal, or ideological ties must be declared.
- Zero Retaliation — Whistle-blowers are protected and celebrated.
- Continuous Learning — Minimum 8 hours of ethics & security training per year.
Breaches trigger a graded response: from mandatory retraining to contract termination and regulatory notification.
Need-to-Know Principle
Access to datasets and compute resources is granted solely on the basis of operational necessity:
- Least Privilege — Default deny; time-boxed permissions.
- Segmentation — Production, staging, and development environments are isolated.
- Differential Privacy & Anonymisation — Where full data access is not essential, we provide redacted or synthetic subsets.
- Periodic Review — Access rights expire automatically every 90 days unless re-justified.
Self-Declaration
Before onboarding a project, the responsible lead must file a Self-Declaration of Data Ethics Compliance covering:
- Purpose & Expected Benefit
- Data Categories & Sources (incl. sensitive data flags)
- Legal Basis & Jurisdictional Mapping
- Risk Assessment Summary (privacy, security, societal impact)
- Deletion & Retention Timetable
- Stakeholder Communication Plan
Declarations are stored in our compliance repository and are auditable by regulators and clients upon request.
Data Deletion & Post-Project Hygiene
We practice Data Sunset by Design. Upon project completion or contract termination, an archival decision is made to determine if anonymised aggregates hold long-term value.
Residual data retention beyond this window requires executive approval and documented legal justification.
Governance & Continuous Improvement
- Incident Response Drills conducted semi-annually
Living Document
This Manifest is reviewed every six months and updated to reflect operational experience, regulatory change, and evolving ethical standards.
Data is the oxygen of the digital age, but too much oxygen can also start a fire. By committing to these tenets we intend not only to use data but to steward it — balancing curiosity with caution, ambition with restraint. If our practices ever drift from these words, we invite every employee, client, and citizen to hold us accountable.
What truth will your data tell tomorrow — and who will speak for those it describes?