The DataFlow Company
The DataFlow Company

Governance & Values

Governance turns values into responsibility. It defines how decisions are made, ownership is assigned, and accountability is upheld.

How we govern

Structure for decisions, responsibility for outcomes.

Clear ownership

Every project has accountable leads for technical decisions, delivery, and external communication.

Documented decision-making

Major technical and methodological decisions are documented, reviewable, and open to scrutiny by partners.

Separation of roles

We distinguish between research, implementation, and oversight to avoid conflicts of interest.

Long-term responsibility

We consider downstream effects, maintenance, and misuse — not just delivery.

Our values

This is how our values show up in our daily work, grouped the way we experience them.

Integrity & Responsibility

Ethics, accountability, and long-term responsibility.

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  • Integrity & Ethics
  • Accountability & Flexibility
  • Environmental Responsibility
  • Financial Transparency

People & Fairness

Respectful collaboration and fair participation for all.

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  • Well-being & Respect
  • Health & Balance
  • Autonomy & Flexibility
  • Participation & Shared Decision Making
  • Financial Fairness & Needs Based Pay

Growth & Community

Learning, sustainable growth, and shared impact.

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  • Sustainable Growth
  • Growth & Learning
  • Constructive Communication
  • Conflict & Resolution
  • Community & Impact
  • Shared Success

These values are internal commitments. We publish them to stay accountable.

How this shows up in practice

Annual Open Books review

Transparent compensation principles

Documented decisions for major commitments

Regular review of this framework

Ethics & Standards

We align our work with internationally recognized ethical frameworks, including principles reflected in UN and EU guidance. These inform how we address human rights, fair labor practices, environmental responsibility, and integrity across projects and partnerships.

Responsible Research & Oversight

Ethical review, methodological rigor, and human oversight in research and evaluation work.

Responsible research →

Data Protection & Privacy

Lawful, transparent, and proportionate handling of personal data in line with GDPR principles.

Privacy notice →

Gender Equality & Inclusion

Commitments and measures to ensure equal opportunity, fair participation, and respectful collaboration.

View approach →