Research question 1: which barriers actually stop independent sponsors?
Survey and interview independent investigators and small institutions that attempted an investigational study or clinical research classification. Record what they intended to do, the applicable regulatory pathway, advice requested, costs, reasons for delay, results and where they discontinued the process. De-identify individuals where appropriate while preserving factual documentation of the decision.
A comparative administrative study could stratify by study type, product class, institutional affiliation, available funding and investigator experience. Primary outcomes would include time to a written classification decision, cost of application preparation, rate of complete submissions, and access to ethics-review and quality services. A baseline outside any proposed pilot must be assembled to support a meaningful before/after comparison.
The legislative implication is precise: if navigational uncertainty dominates, fund a classification service; if quality services dominate cost, support shared infrastructure; if a substantive legal prohibition blocks otherwise defensible proposals, consider a narrow statutory amendment. These are different interventions and should not be conflated.
Research question 2: when do decentralized designs improve participation?
Existing systematic reviews document broad methodological variation and limited comparative evidence on decentralized clinical trial operations. A prospective implementation study could compare otherwise similar, legally authorized studies using remote visits, local clinic pathways and hybrid approaches, while preserving participant choice where feasible. P01P03P05
Predefine recruitment rate, time to enrollment, demographic and geographic representativeness, retention, protocol deviation, participant comprehension, incident response and direct cost. Report missing data and differential uptake by device access, language, disability or rural residence. Distinguish costs shifted from a sponsor to participants from actual reductions in total cost.
Results should be reported even if the decentralized strategy fails to improve access. Agencies could use the findings to revise guidance, direct grant funding, or adjust implementation requirements. The absence of a universal improvement should not discredit a technique that works in a specified context.
Research question 3: can shared scientific methods strengthen participant-led evidence?
Develop an open library of validated observational study templates, N-of-1 protocol specifications, analysis plans and study dictionaries. Pilot their use in clearly lawful, lower-risk or noninterventional projects first. The shared infrastructure should record version history, outcome changes and data provenance. P07P08P09
Evaluate protocols against prespecified design-quality criteria: appropriate question and comparator, outcome validity, missingness plan, statistical uncertainty, analysis reproducibility, adverse event reporting and public reporting of negative findings. Blind independent methodological reviewers to whether a protocol was written by an institution or a supported individual applicant where practical.
A randomized or quasi-experimental evaluation of training and template support might test whether participants produce more complete protocols or reports, but those quality outcomes should not be misrepresented as proof that an intervention treats disease.
Research question 4: which participant data rights can be enforced after transfer?
Recruit privacy, legal and security specialists to define cases where HIPAA applies, where it does not, and what happens after data become properly de-identified. Create a model downstream use agreement for research intermediaries with purpose restrictions, retention and transfer duties, breach notification and audit remedies. F14F15F17
Test a demonstration architecture with synthetically generated research records: separate identity custody, study-specific pseudonyms, a revocable access-control layer, purpose logs, controlled exports, independent audits and a human complaint route. Conduct legal and technical red-team exercises about re-identification, model-training reuse, and withdrawal after data transfer.
Publish the limits of the model, especially where copies leave the trusted environment, a retained code can re-link a record, or already completed analysis cannot be undone. The proposed right should promise defined future conduct and enforceable remedies rather than magical retroactive erasure.
Research question 5: what are proportional review and support costs?
Map existing accredited or appropriately registered ethics-review services, sponsor support, legal counseling, data operations, quality testing and investigator training accessible to small projects. Request transparent pricing and realistic capacity information. A federally supported service must not be assumed cheaper merely because it is nonprofit or digital.
Evaluate the scientific and participant-safety outcomes of different review arrangements for comparable activity classes. Where expedited review already exists, measure whether applicants can understand and reach it. Where there is no lawful exemption, clearly separate a possible legislative experiment from what present regulations permit. F09F10
Cost estimates should include setup, recurring quality work, professional supervision, incident response, insurance or compensation, security, scientific analysis and public reporting. A law that covers only enrollment cost could still create an unaffordable right on paper.
Evidence milestones for congressional reporting
Year 1: establish verified source library, stakeholder interviews, baseline regulatory pathway map, method templates, data-governance test plans and conflict registry. Publish a first review of known barriers and unanswered scientific questions.
Years 2–3: evaluate supported independent projects and lawful decentralized workflows against prospective access, quality and participant measures; commission privacy and regulatory audits; publish negative and inconclusive findings alongside positive results.
Years 4–5: independent evaluation of legislative or administrative changes, economic impact under transparent assumptions, safety reporting, durability of data rights and evidence quality. Use those results to inform statutory amendment, expansion, or termination of underperforming mechanisms.
Throughout, maintain a structured evidence ledger where each material assertion points to its source or is labeled a policy hypothesis. An initiative seeking greater research freedom should be exemplary in its willingness to correct mistakes.