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Evaluating the current landscape of clinical trials registration and results reporting policies, procedures and staffing at US-based academic centers: Survey revisited

Published online by Cambridge University Press:  13 October 2025

Anthony Keyes*
Affiliation:
Johns Hopkins University School of Medicine, Baltimore, MD, USA
Jesse Reynolds
Affiliation:
Yale School of Medicine, Yale Center for Clinical Investigation, New Haven, CT, USA
Jillian Barron
Affiliation:
Yale School of Medicine, Yale Center for Clinical Investigation, New Haven, CT, USA
Sarah White
Affiliation:
The Multi-Regional Clinical Trials Center of Brigham and Women’s Hospital and Harvard, Brigham and Women’s Hospital, Boston, USA
*
Corresponding author: A. Keyes; Email: akeyes1@jhmi.edu
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Abstract

Introduction:

Historically US-based academic organizations dedicated limited resources, including policies, personnel to ensuring compliance with clinical trials registration and results reporting requirements. A recent follow-up survey finds that 6-years after an initial survey, there is increased attention and dedication of resources to improve compliance rates for clinical trials registration and results reporting.

Methods:

Internet-based online survey using Qualtrics between 20 April 2023 and 30 September 2023 distributed to Protocol Registration and Results Reporting (PRS) Administrators at US-based academic organizations with ClinicalTrials.gov organizational accounts. The survey focused on the 249 respondents of the original 2016–2017 survey published in 2018. The overall response rate was 162/249 (65.06%) with 100% participation from National Cancer Center (NCI) Designated Cancer Centers and hubs of the Clinical and Translational Science Awards (CTSA).

Results:

Results indicated a marked increase of academic organizations with policies in place for registration (43 to 74%) and results reporting (35 to 68%). The median number of Full-time Equivalent (FTE) staff at responding academic organizations increased (from 0.08 to 0.5) with statistically significant difference between the number of organizational records and FTEs supporting registration and results reporting. Larger gains are seen with NCI-Designated Cancer Centers and/or CTSA hubs.

Conclusions:

It appears academic organizations are more equipped to comply with requirements, and demonstrate a trend towards appropriate staffing. In the 6 years since the original survey, US-based academic organizations have significantly increased attention to compliance with clinical trials registration and results reporting requirements, indicated by an increase in institutional policies and dedicated personnel.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Association for Clinical and Translational Science

Introduction

Clinical trial transparency and disclosure is an ethical and scientific imperative, a tenant of building public trust and required for responsible stewardship of research funding. ClinicalTrials.gov is a public database run by the US National Library of Medicine (NLM) and provides detailed information about clinical studies. The database enables registration and reporting of individual trials, recruitment, data sharing statements and systematic reviews [Reference Jiang, Vorland and Ying1Reference Statham, White, Sonwane and Bierer3]. The US Food and Drug Administration Amendments Act of 2007 (FDAAA), also known as the Final Rule and National Institutes of Health (NIH) Policy on the Dissemination of NIH-Funded Clinical Trial Information have been in place since 2017 (Table 1).

Table 1. Historical policies that have impacted ClinicalTrials.gov

In 2018 members of the Clinical Trials Registration and Results Reporting Taskforce (Taskforce) [4] published a manuscript on the policies, procedures, and resources to support trial registration and reporting at Academic Medical Centers (AMCs) [Reference Mayo-Wilson, Heyward and Keyes5]. The results showed varied preparation for Final Rule implementation. For example, only 43% of academic organizations had a registration policy and 35% had a results reporting policy. The prior study intentionally sought the broadest possible respondent base and was successful in reaching accounts that comprised 85% of all University/Organization records at the time (40,351 of 47,701 records). The approach may have yielded an over representation of smaller accounts (<20 records posted on ClinicalTrials.gov), many of which did not have established policies and low Full-time Equivalent staff (FTE) support. The median FTE from this study has been cited by others as evidence that academic organizations are not doing enough to ensure compliance with federal requirements [Reference Zarin, Fain, Dobbins, Tse and Williams6,7].

Several articles calling attention to noncompliance have been published and many organizations are raising the alarm on behalf of patients, research participants, science, and stewardship [Reference Piller8,Reference Silverman9,Reference DeVito, Bacon and Goldacre10]. STAT News was among the first to broadcast the exact names and compliance metrics at 40 institutions [Reference Kaplan11]. A follow-up report from 2020 [12] revealed large gains at those same institutions, as was suggested in a 2019 commentary, “external pressure might incentivize improved reporting” [Reference Zarin13].

Since 2018, research has shown improvements to the lagging compliance rates [14]. The Medical University of South Carolina reported a 98% increase in compliance after 12 months following the implementation of various strategies, including hiring a full-time ClinicalTrials.gov Administrator to assist researchers and implementing Institutional Review Board (IRB) workflows [Reference Snider, Flume, Gentilin, Lesch, Sampson and Sonne15]. Johns Hopkins University also reported significant improvements in compliance after hiring 3 dedicated staff and formalizing a policy for registration and results reporting [Reference Keyes, Mayo-Wilson, DPhil, Lalji, Tetteh and Ford16]. Despite growing efforts, academic organizations still perform below Industry in registering trials prospectively [Reference Zarin, Tse, Williams and Rajakannan17,Reference Law, Kawasumi and Morgan18] and reporting results, however outpace the results compliance of government agencies [Reference Piller8,Reference DeVito, Bacon and Goldacre10].

Federal initiatives

In August 2022 an Office of Inspector General (OIG) audit concluded that “NIH did not ensure that all NIH-funded Intramural and Extramural clinical trials complied with Federal reporting requirements” [19]. Since the audit, NIH has confirmed their commitment to increased communication and, “if needed, enforcement actions” [Reference Lauer20]. The NIH Office of Policy for Extramural Research Administration (OPERA) has issued over 300 letters of potential noncompliance to grantee organizations. FDA has created a website to post Notices of Noncompliance as well as Pre-notice letters for voluntary corrective action, including unredacted copies of each letter [Reference Ramachandran, Morten and Ross21]. At the time of publication of this manuscript, the FDA civil monetary penalties, adjusted for [22] annual inflation are $14,724 per study per day [23].

Lastly, NLM has been actively engaged in a multi-year, comprehensive effort to modernize the public ClinicalTrials.gov website and the Protocol Registration and Results Reporting System (PRS) [24]. The modernization of the PRS has provided interested parties an opportunity to collaborate with NLM to provide constructive feedback and rework internal guidance documents to enable re-learning for all Investigators and study teams to effectively navigate the new platforms.

The goal of the current survey was to understand if federal initiatives, public attention, and time has led to improvements in academia’s performance in meeting the requirements of clinical trials registration and results reporting. Researchers sought to quantify the changes in institutional support since the initial survey with respect to ClinicalTrials.gov policies and identify drivers for compliance improvements. Additionally, we explored if those academic organizations that are National Cancer Center (NCI) Designated Cancer Centers and/or hubs of the Clinical and Translational Science Awards (CTSA) [25,26], by virtue of federal funding and focused collaboration, have performed better than other institutions. CTSA hubs receive research infrastructure funding to, “develop, demonstrate and disseminate scientific and operational innovations” and may have additional ability to provide more resources, and potentially be under more scrutiny to have robust, local ClinicalTrials.gov programs and contribute to national dissemination efforts [Reference O’Reilly, Hassell and Snyder27].

Materials and methods

The 2023 survey was sent utilizing Qualtrics software (https://www.qualtrics.com/) and was adapted from the initial 2016–2017 survey. The questionnaire focused on local institutional polices, staffing resources, available tools, determining compliance and oversight of clinical trials registration and results reporting requirements. The 2023 survey was updated to include new questions since the last survey (e.g. Informed Consent Form requirements) and to better capture FTE resources at the institution (A pdf of the complete survey is posted as a supplemental document)

The NLM maintains ClinicalTrials.gov as two separate databases. One is for the general public to access published records. The PRS allows one or more PRS Administrators (Admins) to enter records for NLM review. Admins oversee registration and results reporting at academic sites. A health system may have only one University/Organization PRS Account, or several in cases where policy, procedures and/or staffing are distinct.

Recipients were identified using the list of respondent emails from the original survey. Given the several years in between administration of the surveys, many emails did not reach their destination. The authors utilized the professional network of the Taskforce as well as contacts at the local CTSA to identify a PRS Administrator at all previous respondent PRS accounts. Participants were emailed a new invitation to complete the survey and were able to request a completed version of their responses be returned to them as a pdf.

Analytical approach

All responses were summarized overall using descriptive statistics, frequency and percentage for categorical responses and mean and standard deviation (or median and range) for continuous data.

Subgroup comparisons were performed based on PRS account size (number of study records). Between group comparisons were performed for institutions with and without CTSA Program funding and institutions with and without NCI-designated cancer centers.

Between subgroup comparisons of continuous variables were performed using either student t test or Mann–Whitney U test for 2 groups; ANOVA or Kruskal Wallace when 2 or more subgroups. Comparisons of categorical outcomes between subgroups were performed with chi-square or Fischer Exact tests. A p value of 0.05 was used to establish statistical significance. All data were analyzed using SPSS version 29.02 (IBM Corp. (2023). IBM SPSS Statistics for Windows, Version 29.02 [Computer software]. IBM Corp.).

Results

The survey was open between 20 April 2023 and 30 September 2023. Two-hundred and forty-nine survey invitations were sent via email to PRS administrators at US-based academic organizations. A total of 162 (65.06%) survey responses were received. Within that overall number, we received a 100% response rate from NCI-Designated Cancer Centers (73/73) (75 total PRS accounts) and CTSA hubs (65/65) (85 total PRS accounts).

The following summarizes responses on institutional policies for clinical trials registration, result reporting, staffing resources, institutional tools, and compliance efforts.

Institutional policies

Seventy-four percent of academic organizations confirmed having a registration policy, while 19.1% did not, and 4.3% were unsure. A small portion, 2.5%, did not answer the question. Concerning the timing of trial registrations, 30.0% required registration before enrollment begins, 27.5% within 21 days of beginning enrollment and 13.3% before IRB approval. Additionally, 20.8% had varying requirements based on trial type, 5.0% mentioned it was not addressed in the policy, less than 1% did not know or did not provide an answer to the question.

When asked to choose from a list of entities who held responsibility for determining whether a trial must be registered, the top responses were the PI (56.7%), PRS administrator (53.3%), and the IRB (32.5%). Some policies designated “other” responsible parties (11.7%), or did not assign this responsibility (2.5%), with 1.7% of respondents not knowing and 0.8% not answering the question.

Regarding results reporting policies, 67.9% of organizations reported having a policy, 24.7% did not, 4.9% did not know, and 2.5% did not answer the question. Of those with a results reporting policy, 87.3% assigned monitoring compliance with legal requirements to the PRS administrator, 46.4% to the PI, and 4.5% to the IRB. “Other” unspecified parties were assigned responsibility in 8.1% of cases, with 1.8% reporting no assignment in the policy, 0.9% did not know, and 1.8% did not respond.

Thirty-four percent of respondents had institutional policies that addressed investigators leaving the organization, 49.4% did not and 12.3% did not know, and 4.3% did not respond to the question. Finally, regarding penalties for failing to register or report trial results, 55.0% of responding organizations could penalize investigators, 30.8% could not, and 14.2% did not know, with no respondents skipping this question.

Institutional ClinicalTrials.gov staffing characteristics

The average FTE support reported was 0.63 (± 0.69 SD) and the median was 0.50, with an interquartile range of 0.10 to 1.00. When the reported FTE was stratified by the number of study records at an institution, staff allocation increased with the number of records. For organizations with fewer than 100 records, the mean was 0.09 (± 0.19 SD), median = 0.05 (range = 0.00 to 1.00); 100 to 500 records mean FTE was 0.61 (± 0.47 SD), median = 0.50 (range = 0.03 to 2.00); organizations with 501 to 1000 records reported a mean FTE of 0.80 (± 0.51 SD), median = 0.68 (range = 0.10 to 2.00); and finally those with >1000 records reported a mean FTE of 1.34 (± 0.98),median = 1.00 (range = 0.06 to 3.88).

Of those studies that provided data on both the FTE staff at their institutions and their PRS record count (n = 150), a statistically significant difference was found with respect to the number of records and median FTE (p < 0.001). The difference between groups demonstrates a trend that as account sizes increase in record number, the number of staff at institutions also increases (Figure 1).

Figure 1. Comparison of full-time equivalent (FTE) by ClinicalTrials.gov account size (Number of records). Interpretation: the bold line in the middle of each of these boxplots represents the median value for each group. The symbols outside the upper portions of the boxplots represent outliers. The interior edges of the boxes represent the 25th and 75th quartiles. As the Kruskal–Wallis H tests were statistically significant, these figures are a representation of each of the four groups’ distributions of values across the 4 measures of FTE.

Staff supporting registration and results reporting efforts perform multiple functions, including: creating and maintaining user accounts (92.0%), reviewing problem records (90.7%), communicating with ClinicalTrials.gov staff (87.7%), notifying researchers about noncompliance sanctions (81.5%), enforcing compliance requirements (79.6%), transferring records between PRS accounts (77.8%), providing individualized support to investigators (74.7%), developing policies (74.1%), coordinating with internal groups (63.0%), and group training (53.7%), maintaining educational websites (46.9%), reviewing data management plans (35.8%) and NIH data dissemination plans (22.2%).

Additionally, dedicated staff performed specific functions related to registration including: responding to ClinicalTrials.gov compliance questions (90.1%), assisting with PRS review comments (88.3%), determining study registration requirements (77.2%), approving PRS account entries (70.4%), monitoring IRB-approved trial registrations (59.9%) and registering studies on behalf of investigators (43.8%).

Similarly, dedicated staff performed functions specific to results reporting including: responding to ClinicalTrials.gov compliance questions (88.9%), assisting with PRS review comments (86.4%), determining which studies require result reporting (72.8%), monitoring reporting requirements for ongoing IRB-approved trials (71.0%), approving PRS account entries (63.0%), and entering results on behalf of PIs (46.3%).

Staff qualifications among support staff were: high school (1.5%), associate’s degree (6.2%), bachelor’s degree (43.8%), master’s degree (43.1%), and higher degrees (34.6%).

Tools and compliance

More than half of the organizations (52.5%) have an electronic system for managing ClinicalTrials.gov compliance, whereas 43.2% do not, with 1.9% unsure and 2.5% did not respond. Looking at the size of the PRS accounts (number of records), those with fewer than 100 records had the lowest adoption rates for electronic systems at 27.9%, while organizations with more than 1000 records had the highest at 81.5%.

Nineteen percent of respondents were not aware if their institution had a policy for the 2018 Common Rule requirement to upload the Informed Consent Form (ICF).

The survey also revealed that compliance tools developed since the initial survey are being adopted. A checklist tool is now being used at 56/162, (34.6%) of respondent institutions [Reference Tetteh, Nuamah and Keyes28].

CTSA analyses

Among CTSAs, 80.0% had a registration policy, compared to 70.2% of non-CTSAs. Regarding results reporting policies, 78.4% of CTSAs had one, versus 61.4% of non-CTSAs. Additionally, 65.9% of CTSAs had an electronic system for managing trial registration or results reporting, while only 35.1% of non-CTSAs did. The difference in FTE staff dedicated to these tasks at CTSAs was significantly higher (0.60 compared to 0.23, p = 0.003) (Table 2).

Table 2. Comparison of full-time equivalent staff by subgroup

*p value based on results of Mann–Whitney U test testing the median values.

Sub-Group analysis of institutions that are participating hubs of the Clinical Translational Science Award (CTSA) and are NCI-Designated Cancer Centers. Both showed statistically significant differences in the number of Full-Time Equivalent Staff (FTE).

Abbreviations: CTSA = Clinical Translational Science Award; NCI = National Cancer Institute; FTE = Full-Time Equivalent.

NCI analyses

Comparing NCI cancer centers to non-cancer centers among the organizations surveyed, 88.0% of cancer centers had a registration policy versus 65.1% of non-cancer centers. In terms of a results reporting policy, 81.3% of cancer centers had one, compared to 59.0% of non-cancer centers. A majority of cancer centers (66.7%) also had an electronic system, 42.2% of non-cancer centers did not have one. The median FTE staff for these tasks was higher in cancer centers at 0.80 FTE compared to 0.12 FTE in non-cancer centers. Overall, NCI respondents reported a statistically significant higher median of FTE dedicated to ClinicalTrials.gov (p < 0.001) (Table 2).

Discussion

Utilizing a similar survey as the one published in 2018, with the same academic organizations represented allows for a direct comparison of key policy elements over time (Table 3).

Table 3. Changes in ClinicalTrials.gov policies at university/Organization PRS accounts at the time of the initial survey and today

Abbreviations: PRS = Protocol Registration and Results Reporting System; PI = Principal Investigator; ICF = Informed Consent Form; FTE = Full-Time Equivalent.

*(Denominator: n = 156).

These survey results provide evidence that since 2018, academic organizations have dedicated greater resources towards compliance with ClinicalTrials.gov requirements. In 2018, 43% of respondents identified an institutional policy regarding trial registration compared to 74% in 2023. Similar results for the NCI (88%) and/or CTSA (80%) institutions indicate that these types of institutions may place a greater emphasis on policy implementation and education [Reference Tetteh, Nuamah and Keyes28]. With respect to policies related to results reporting, 35% of 2018 respondents identified having such a policy compared to 68% in 2023 (78.4 CTSAs, 81.3 NCI cancer centers respectively). Since the initial survey, institutions are more aware of the importance of clinical trial transparency and of the public pressure to accurately register and report results of clinical trials in a timely fashion. They have joined in community to develop and share more comprehensive policies (e.g., AMCs, with policies for PI’s leaving increased from 24 to 35%) and tools (e.g., Yale Clinical trial Dashboard [Reference Maciejewski29]).

Further, since 2018, academic organizations report an overall increase in the FTE support dedicated to ClinicalTrials.gov activities (8% of an FTE in 2018, to 50% of an FTE in 2023). These increases appear to be consistent across the size (# of records) of the academic organizations’ PRS account. Our findings indicate a statistically significant difference between account size groupings (p < 0.001). These data indicate that not only are institutions providing more support in terms of policies for staff and faculty to follow, but also with the appropriate staffing to support ClinicalTrials.gov.

Questions with a high percentage of respondents being unaware of the answer indicate opportunities for best practice dissemination or a need for institutional reinforcement of these policies.

Drivers of change

The results of this survey could also lead to targeted educational outreach to inform and provide policy language, leading to standardized processes and improved compliance to federal requirements. Investigators and study teams understand the need for transparency and want to report their research but may lack the knowledge and resources needed to fully comply.

Having a senior level Project Champion at each AMC establishing and enforcing strong policies could also be a major driver of positive change. There is also a role for strategic funding and directives of CTSA leadership. We know that formal communication from FDA is effective [Reference Ramachandran, Morten and Ross21]. The effectiveness of civil monetary penalties is unknown. Until the first penalty is issued, PRS Administrators use any updates of policy, the pre-notice website and every annual inflation adjustment [30] to keep everyone aware of financial, civil and criminal penalties.

Limitations

The original survey was facilitated by an institutional contacts list provided by NLM for all University/Organization PRS Accounts. The authors were not able to obtain an institutional contacts list in 2023. Efforts were therefore undertaken to manually acquire updated contact information for prior respondents, leading to a significant delay in resending the survey.

Conclusions

Academic organizations must renew their efforts to implement strong policies and work collaboratively with colleagues across academia. Transparency advocates continue to highlight the importance of clinical trial reporting and the impact of holding academia accountable. Collectively we ensure, not just compliance with all the regulations, but to honor the spirit of transparency behind them. Increased institutional FTE support will be needed to implement best practices, policies and procedures and to educate investigators and study teams in navigating the modernized ClinicalTrials.gov platform. The more active engagement from PRS Administrators at academic sites the better the modernized ClinicalTrials.gov platform will function for all. The authors want to acknowledge the importance of advocacy work here in the United States [31,32] and around the world (e.g., The FDAAA Trials Tracker [33], the United Kingdom’s, International Clinical Trials Registry Platform [Reference Silverman34]). Collectively, these efforts have been successful in highlighting the importance of transparency, scientific vigor and stewardship. We consider these groups as partners and have welcomed them to share their efforts with the Taskforce.

Taskforce

The Clinical Trials Registration and Results Reporting Taskforce is a network of academic organizations whose representatives meet monthly by teleconference, share resources, and provide informal peer education. Since 2014, the Taskforce has grown to over 700 members at over 250 US-based academic organizations and includes governmental agencies and other relevant partners. Nearly 200 members engage in monthly webinars. The Taskforce continues to advance best practices and develop and disseminate key deliverables as well as serves as an international collaborator for global clinical trial disclosure initiatives [Reference Franzen, Salholz-Hillel, Müller-Ohlraun and Strech35].

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/cts.2025.10171.

Data availability

The statistical code for generating these results is available from the authors. We did not obtain consent to identify participants.

Acknowledgments

We thank Kim Hill, Johns Hopkins University, for organizing Taskforce volunteers to contact 67 institutions to identify the PRS administrator who would be the survey recipient. We thank Carrie Dykes, University of Rochester Clinical and Translational Science Institute, for being the Taskforce Membership Chair and serving as the Taskforce Representative on the National Library of Medicine (NLM) Board of Regents Public Service Working Group on ClinicalTrials.gov Modernization. We thank the Harvard Clinical and Translational Science Center (UM1TR004408) who supports monthly teleconferences and the website for the Taskforce. We are grateful to Michael Kurilla, MD-PhD, Director, Division of Clinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health for his key role encouraging 100% CTSA participation. None of the individuals listed here were financially compensated outside of their usual salaries. ChatGPT was used only to format references in AMA style.

Author contributions

Anthony Keyes: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Visualization, Writing-original draft, Writing-review & editing; Jesse Reynolds: Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing-original draft, Writing-review & editing; Jillian Barron: Data curation, Formal analysis, Resources, Software, Visualization, Writing-review & editing; Sarah White: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Visualization, Writing-original draft, Writing-review & editing.

Funding statement

This publication was made possible by the Johns Hopkins Institute for Clinical and Translational Research (ICTR) which is funded in part by Grant Number 1UM1TR004926-01 from the National Center for Advancing Translational Sciences (NCATS) a component of the National Institutes of Health (NIH), and NIH Roadmap for Medical Research. Its contents are solely the responsibility of the authors and do not necessarily represent the official view of the Johns Hopkins ICTR, NCATS or NIH.

This publication was made possible by CTSA Grant Number UL1 TR001863 or KL2 TR001862 or TL1 TR001864 (as appropriate) from the National Center for Advancing Translational Science (NCATS), a component of the National Institutes of Health (NIH). Its contents are solely the responsibility of the authors and do not necessarily represent the official view of NIH.

This work was conducted with support from UM1TR004408 award through Harvard Catalyst | The Harvard Clinical and Translational Science Center (National Center for Advancing Translational Sciences, National Institutes of Health) and financial contributions from Harvard University and its affiliated academic healthcare centers. The content is solely the responsibility of the authors and does not necessarily represent the official views of Harvard Catalyst, Harvard University and its affiliated academic healthcare centers, or the National Institutes of Health.

Competing Interests

AK, and JR completed the survey on behalf of their organizations. AK and SW co-chair the National Clinical Trials Registration and Results Reporting Taskforce. AK is a Protocol Registration and Results System (PRS) administrator for the “Johns Hopkins University” account. JR is a PRS administrator for the “Yale University” account. SW is currently the Executive Director of the Multi-Regional Clinical Trials Center of Brigham and Women’s Hospital and Harvard.

Ethical standard

Yale IRB Study ID: 2000035128

Study Title: Exemption: CTRRT 2023 PRS Admin Survey

IRB Registration Numbers: 00011725*

*This IRB registration number applies to all of Yale’s IRB panels.

Compliance Statement: https://your.yale.edu/research-support/human-research-protection-program/yale-irb-yale-university-institutional-review-3

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Figure 0

Table 1. Historical policies that have impacted ClinicalTrials.gov

Figure 1

Figure 1. Comparison of full-time equivalent (FTE) by ClinicalTrials.gov account size (Number of records). Interpretation: the bold line in the middle of each of these boxplots represents the median value for each group. The symbols outside the upper portions of the boxplots represent outliers. The interior edges of the boxes represent the 25th and 75th quartiles. As the Kruskal–Wallis H tests were statistically significant, these figures are a representation of each of the four groups’ distributions of values across the 4 measures of FTE.

Figure 2

Table 2. Comparison of full-time equivalent staff by subgroup

Figure 3

Table 3. Changes in ClinicalTrials.gov policies at university/Organization PRS accounts at the time of the initial survey and today

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