Guiding questions

  1. Value propositions for different roles (e.g. data providers, users, CO₂ consultants, real estate owners)

    • How effectively are value propositions tailored to different participant roles in the data space

    • How do participants experience or perceive the benefits of interacting with other participants

    • How actively are participants engaged, and what initiatives motivate their participation?

    • How can engagement be increased for participants that are less active or less involved

  2. Revenue mechanisms (e.g. subscription, pay-per-use, public-private funding)

    • How can multiple revenue streams be explored while ensuring fair access for all participants?

  3. Cost structures including data curation, onboarding, governance participation

    • Which operational costs can be optimized without affecting trust or data quality?

  4. Cost structures including data curation, onboarding, governance participation

    • How can business models better support participants’ individual goals and motivations?

    • Which mechanisms encourage shared objectives and collaboration?

  5. Theme & Scope

  • What is the data space’s thematic scope?

  • What are its objectives, growth, and profit ambitions?

  1. Use cases & Services

  • Which use cases are strategic priorities vs future ambition?

  • What benefits do these use cases offer participants?

  • What services are core vs value-added?

  • Who will deliver them?

  • How are they incentivised?

  1. Governance Authority

  • What are the responsibilities and business model of the authority

  • How is governance reviewed and improved?

Last updated