Bill Overview
Title: Defense Maintenance Data Transparency Act
Description: This bill requires the Office of the Under Secretary of Defense for Acquisition and Sustainment within the Department of Defense to develop guidelines and resources on the acquisition or licensing of intellectual property.
Sponsors: Rep. Foxx, Virginia [R-NC-5]
Target Audience
Population: Individuals involved in defense maintenance, acquisition, and contracting
Estimated Size: 500000
- The bill involves the Department of Defense, suggesting it affects military operations and policies.
- Personnel involved in maintenance and acquisition of defense resources will be directly impacted.
- Companies providing services or goods related to military defense are stakeholders.
- Defense contractors relying on intellectual property licensing will see changes.
- Transparency in defense maintenance data might slightly affect the general public's perception of defense spending and operations.
Reasoning
- The population affected by this policy primarily includes individuals directly involved in defense maintenance, acquisition, and intellectual property licensing within defense.
- Companies and contractors working closely with the Department of Defense will see the most direct impact.
- A segment of the general public may be indirectly affected through increased transparency, influencing perceptions of defense spending.
- With a focus on intellectual property, technical workers, legal experts, and policy developers within the defense sector will be engaged.
- The policy's financial cap suggests a focus on guidelines and resources rather than large-scale operational changes, affecting individual roles focused more on administrative aspects.
Simulated Interviews
Defense Procurement Officer (Washington, D.C.)
Age: 45 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 10.0 years
Commonness: 5/20
Statement of Opinion:
- Greater transparency can streamline our procurement processes.
- Initial adjustment to new guidelines could be challenging.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 6 |
| Year 2 | 7 | 6 |
| Year 3 | 8 | 6 |
| Year 5 | 8 | 6 |
| Year 10 | 8 | 6 |
| Year 20 | 7 | 5 |
Software Engineer at Defense Contractor (San Diego, CA)
Age: 37 | Gender: male
Wellbeing Before Policy: 7
Duration of Impact: 10.0 years
Commonness: 8/20
Statement of Opinion:
- New IP guidelines can complicate current projects.
- It could enhance collaboration if managed well.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 7 |
| Year 2 | 6 | 8 |
| Year 3 | 7 | 8 |
| Year 5 | 8 | 8 |
| Year 10 | 8 | 8 |
| Year 20 | 8 | 8 |
Legal Advisor at IP Firm Working with DoD (Atlanta, GA)
Age: 29 | Gender: female
Wellbeing Before Policy: 5
Duration of Impact: 5.0 years
Commonness: 10/20
Statement of Opinion:
- These guidelines will increase my workload initially.
- Improved standards could benefit all legal processes.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 5 | 5 |
| Year 2 | 6 | 5 |
| Year 3 | 7 | 6 |
| Year 5 | 7 | 6 |
| Year 10 | 7 | 6 |
| Year 20 | 7 | 6 |
Defense Contractor Executive (Chicago, IL)
Age: 58 | Gender: male
Wellbeing Before Policy: 8
Duration of Impact: 15.0 years
Commonness: 3/20
Statement of Opinion:
- Policy could improve competitive fairness if executed properly.
- Concerned about initial backlash from subcontractors.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 8 |
| Year 2 | 7 | 8 |
| Year 3 | 8 | 8 |
| Year 5 | 8 | 8 |
| Year 10 | 9 | 8 |
| Year 20 | 8 | 8 |
Data Analyst at Military Data Firm (Boston, MA)
Age: 33 | Gender: other
Wellbeing Before Policy: 7
Duration of Impact: 10.0 years
Commonness: 7/20
Statement of Opinion:
- Improved data transparency aligns with our mission.
- Policies need clear implementation strategies.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 7 |
| Year 2 | 7 | 7 |
| Year 3 | 7 | 7 |
| Year 5 | 7 | 7 |
| Year 10 | 8 | 8 |
| Year 20 | 9 | 8 |
Policy Developer at Department of Defense (Arlington, VA)
Age: 41 | Gender: male
Wellbeing Before Policy: 6
Duration of Impact: 20.0 years
Commonness: 6/20
Statement of Opinion:
- This policy's transparent approach can drive positive change.
- Implementation might face political pushback.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 6 |
| Year 2 | 7 | 6 |
| Year 3 | 7 | 6 |
| Year 5 | 8 | 6 |
| Year 10 | 9 | 6 |
| Year 20 | 9 | 6 |
Professor of Defense Studies (Los Angeles, CA)
Age: 55 | Gender: female
Wellbeing Before Policy: 8
Duration of Impact: 20.0 years
Commonness: 9/20
Statement of Opinion:
- This could make a significant case study for defense policy.
- It will take time to see the academic benefits.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 8 |
| Year 2 | 8 | 8 |
| Year 3 | 8 | 8 |
| Year 5 | 8 | 8 |
| Year 10 | 9 | 8 |
| Year 20 | 9 | 8 |
Public Policy Analyst (New York, NY)
Age: 48 | Gender: male
Wellbeing Before Policy: 7
Duration of Impact: 15.0 years
Commonness: 8/20
Statement of Opinion:
- Transparency in defense data could improve public trust.
- Exact impacts will depend on the policy's execution.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 7 |
| Year 2 | 7 | 7 |
| Year 3 | 7 | 7 |
| Year 5 | 8 | 7 |
| Year 10 | 8 | 7 |
| Year 20 | 8 | 7 |
Research Assistant in Defense Policy (Austin, TX)
Age: 26 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 10.0 years
Commonness: 15/20
Statement of Opinion:
- This policy offers a great learning opportunity.
- Better transparency will help my future research.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 6 |
| Year 2 | 7 | 6 |
| Year 3 | 7 | 6 |
| Year 5 | 8 | 6 |
| Year 10 | 8 | 7 |
| Year 20 | 8 | 7 |
Veteran and Defense Consultant (Seattle, WA)
Age: 39 | Gender: other
Wellbeing Before Policy: 7
Duration of Impact: 20.0 years
Commonness: 12/20
Statement of Opinion:
- Honesty and transparency could benefit veterans' views.
- Practical outcomes are uncertain and need careful watch.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 7 |
| Year 2 | 7 | 7 |
| Year 3 | 7 | 7 |
| Year 5 | 8 | 7 |
| Year 10 | 9 | 8 |
| Year 20 | 9 | 8 |
Cost Estimates
Year 1: $1500000 (Low: $1000000, High: $2000000)
Year 2: $1500000 (Low: $1000000, High: $2000000)
Year 3: $1500000 (Low: $1000000, High: $2000000)
Year 5: $1200000 (Low: $800000, High: $1600000)
Year 10: $900000 (Low: $600000, High: $1200000)
Year 100: $300000 (Low: $100000, High: $500000)
Key Considerations
- The policy will require collaboration across various departments within the DoD, which may present coordination challenges.
- Consistent updates to guidelines will be necessary to keep pace with technological advancements and changes in intellectual property law.
- External consultancy may be required initially, impacting start-up costs.