Ownership and Operation

1
6 Tools of Gov.t
applied to Data Farming

1. Ownership and Operation
2. Regulation
3. Incentives/Disincentives
4. Education and Information
5. Right swapping
6. Mitigation and Compensation

2
6 Tools of Gov.t
applied to Data Farming

1. Ownership and Operation
2. Regulation
3. Incentives/Disincentives
4. Education and Information
5. Right swapping
6. Mitigation and Compensation

• whereby municipalities
• Adopt internal mechanisms to farm THEIR OWN data
• Emphasize Information in Standard Operating
  Procedures
• Extract Informational Returns from all internal
  processes
• Change job descriptions for personnel to
  include information
• Catch up with their own backlog
• Intercept all future internal change as it happens

3
6 Tools of Gov.t
applied to Data Farming

1. Ownership and Operation
2. Regulation
3. Incentives/Disincentives
4. Education and Information
5. Right swapping
6. Mitigation and Compensation

• whereby municipalities
• Make informational Returns part of their
  regulations
• Force outside entities to provide information
  (for free)
• Change submission requirements (permits, plans)
• Modify maintenance and management contracts
• Institute yearly renewals for data updates
• Apply regulations to capture backlog as well
• Invent creative ways to acquire datasets
• Become validators instead of collectors

4
6 Tools of Gov.t
applied to Data Farming

1. Ownership and Operation
2. Regulation
3. Incentives/Disincentives
4. Education and Information
5. Right swapping
6. Mitigation and Compensation

• whereby municipalities
• Routinely entice outside entities into providing
  information
• Change submission fee structures (permits,
  plans)
• Make old ways costly (disincentives)
• Make it cheaper to do the right thing
  (incentives)
• Provide benefits for data updates
• Invent bonuses for data backlog
• Reward and enforce collaboration
• Validate incoming data

5
6 Tools of Gov.t
applied to Data Farming

1. Ownership and Operation
2. Regulation
3. Incentives/Disincentives
4. Education and Information
5. Right swapping
6. Mitigation and Compensation

• whereby municipalities
• Constantly educate citizens about the use of data
• Are always transparent about motives for data
  collection
• Explore potential for volunteer citizen input
• Incite peer-production
• Make educational institutions partners in the
  process
• Acknowledge and Reward collaboration
• Include this aspect in ALL their initiatives

6
6 Tools of Gov.t
applied to Data Farming

1. Ownership and Operation
2. Regulation
3. Incentives/Disincentives
4. Education and Information
5. Right swapping
6. Mitigation and Compensation

• Requires real creativity but is very powerful
• More useful for implementation, to
• Trade-up as-of rights in exchange for desired
  outcomes
• in the end municipalities can
• include informational returns any time rights are
  renegotiated
• increase as-of rights in exchange for data

7
6 Tools of Gov.t
applied to Data Farming

1. Ownership and Operation
2. Regulation
3. Incentives/Disincentives
4. Education and Information
5. Right swapping
6. Mitigation and Compensation

• More useful for implementation, to
• Mitigate negative consequences of initiatives
• Remove final obstacles to implementation
• with this tool municipalities could
• accumulate complaints and suggestions from
  affected parties
• provide online tools for quantifying and logging
  problems