Public Comments submitted to TEHDAS2 regarding Health Data Access Bodies for public consultation

Public Comment

Comments provided on: June 28, 2026

Comments provided to: TEHDAS2, coordinated by the Finnish Innovation Fund SITRA

Description: The MRCT Center submitted responses to several TEHDAS2 draft guidelines to Health Data Access Bodies offered for public consultation, including one on international and third country access and transfer of electronic health data; on linkage of health data sets; on informing citizens about the use of health data; and on handling research outcomes. We continue our efforts to engage the stakeholders and guide policy development towards a harmonized data-sharing system for secondary use purposes related to the European Health Data Space (EHDS). 

Public Comments submitted in support of the European Data Protection Board Guidelines 1/2026

Public Comment

Comments provided on: June 25, 2026

Comments provided to: European Data Protection Board

Description: The MRCT Center submitted a public comment in support of the European Data Protection Board’s Guidelines 1/2026 on the processing of personal data for scientific research purposes. The comment welcomes the Guidelines as a meaningful step toward clearer interpretation of the GDPR’s research provisions, endorsing the presumption of compatibility for secondary research, broad consent, and a research-specific approach to controller and processor roles. It also asks the EDPB to clarify how the Guidelines interact with the European Health Data Space, to allow GDPR data-processing consent to be included in the clinical trial consent form, to provide clearer examples of when erasure may compromise a trial, and to provide a workable pathway for sharing pseudonymized data.

Language as an Eligibility Criterion in Pediatric Study Protocols Conducted in Europe (2007–2024) Reported in the ClinicalTrials.gov Database

Publication

Publication: Pharaceutical Medicine

Date Published: June 22, 2026

Description: Language as an Eligibility Criterion in Pediatric Study Protocols Conducted in Europe (2007–2024) Reported in the ClinicalTrials.gov Database,” published in Pharmaceutical Medicine and led by Begonya Nafria with co-author Barbara Bierer, examined pediatric clinical trial protocols conducted in the EU and found that language-based eligibility requirements, only a minority of which offered any scientific justification, limited cross-border access to trials for pediatric patients.

Parents’ Perspectives on Access to Pediatric Rare Disease Cross-Border Clinical Trials in Europe: Experiences of Language Inclusion and Preferences

Publication

Publication: Therapeutic Innovation and Regulatory Science

Date Published: March 18, 2026

Description: Parents’ Perspectives on Access to Pediatric Rare Disease Cross-Border Clinical Trials in Europe: Experiences of Language Inclusion and Preferences,” published in Therapeutic Innovation & Regulatory Science and led by Begonya Nafria of the Institut de Recerca Sant Joan de Déu with co-author Barbara Bierer, surveyed parents of children living with a disease about access to cross-border trials in Europe. Of 1,436 responses, 10% of families had participated in a clinical trial, and 30.1% of those had traveled abroad to do so. Among parents whose children were excluded from cross-border trials, roughly one-third cited language or country barriers as the reason.

Public Comments submitted in response to Future Directions for the NLM Information Resource Grants (G08) Program

Public Comment

Comments provided on: June 24, 2026

Comments provided to: NIH National Library of Medicine

Description: The MRCT Center submitted a public comment in response to the NIH National Library of Medicine’s request for information, “Future Directions for the NLM Information Resource Grants (G08) Program.” The comment affirms strong support for NLM’s mission and the trustworthy resources it offers through PubMed, ClinicalTrials.gov, GenBank, and MedlinePlus, and proposes several ways to expand the G08 program with a focus on clinical trials and research. It recommends deploying libraries and librarians as trusted access points that help the public find and interpret research information; extending these resources to rural and historically underserved areas as entry points for digital trial methods and study recruitment; improving the utility of ClinicalTrials.gov through electronic health record integration for point-of-care trial matching, more complete eligibility criteria, plain-language trial summaries, and machine-readable protocol templates; and providing educational resources on the responsible and practical use of AI technologies. The comment urges NLM to foster an AI-ready research information ecosystem grounded in data interoperability standards, computable metadata, benchmark datasets, FAIR research outputs, and systems that protect personal health information.

Joint Taskforce for Clinical Trial Competency (JTF): Global Biannual Meeting

Webinar

Date: June 22, 2026

The Joint Task Force for Clinical Trial Competency (JTF), anchored at the MRCT Center, develops and disseminates standards and practices for the global clinical research workforce. By fostering a cohesive and collaborative approach, the JTF ensures that professionals have the competencies to conduct clinical trials ethically and effectively. 

Our international team of investigators, educators, and clinical research professionals has developed and/or utilizes a framework that defines the knowledge, skills, and attitudes necessary for conducting safe, ethical, and high-quality clinical research. 

This recording is from the JTF Biannual Global Meeting held June 22, 2026. The meeting focused on two recent proposed revisions to the JTF Framework: the JTF-Patient Partner Project (P3) and an update to Domain 6. Speakers presented the proposed updates, discussed them with users of the JTF Framework, and gathered input on further changes needed as the Framework moves toward Version 4.0. 

To learn more about the JTF Framework: https://mrctcenter.org/clinical-trial-competency/framework/overview/ 

Link to this recording on YouTube

Related Resources:

The Clinical Research Glossary: Adoption, Implementation, and Impact

Biannual Meeting

Webinar

Presented on: June 16, 2026

How do leading organizations turn plain language from an aspiration into everyday practice? In this June 2026 MRCT Center webinar, three users of the Clinical Research Glossary share how they put it to work, from global pharma to grassroots patient advocacy.

The Clinical Research Glossary is a free, publicly available resource that translates complex clinical research terms into clear, plain-language definitions. It empowers patients, participants, and the public to make informed decisions about their care and research participation. Developed by the MRCT Center with a diverse, multi-interest-holder workgroup, its definitions have been part of the CDISC global data standards since 2023.

This session highlights real-world adoption and impact, followed by a panel discussion and audience Q&A.

Speakers

  • Anna Subrizi, Senior Director, Patient Empowerment, Bristol Myers Squibb. How the Glossary is embedded in BMS’s Universal Patient Language (UPL) program and used across teams for plain language summaries, informed consent forms, and patient materials.
  • Sudipta Chakraborty, PhD, Head, Health Literacy & Plain Language Center of Excellence, Biogen. How the Glossary became the exclusive reference for Biogen’s Plain Language Glossary 2.0 and anchors a cross-functional content reuse initiative.
  • R. Bernard Coley, Co-Chair, Special Interest Group – Black Diaspora; Care Partner and Research Advocate; recipient of the 2026 World Parkinson Coalition Robin A. Elliott Community Service Award. How the Glossary supports community education, including the Black Parkinson’s Disease Summit.

Moderator: Sylvia Baedorf Kassis, Program Director, MRCT Center

What’s covered

  • The MRCT Center and its ongoing commitment to health literacy
  • The Clinical Research Glossary and the collaboration with CDISC
  • The 2026 public review (June 12 to July 13): 27 definitions up for review, 24 new and 3 updated
  • Enterprise use cases from Bristol Myers Squibb and Biogen
  • Community and advocacy use cases in Parkinson’s disease education
  • Panel discussion and audience questions

Public Review is a Critical Part of the Clinical Research Glossary process.

Part of being a CDISC global plain language standard means all new terms and definitions, plus change requests we received throughout the year, go through a public review process.

Public Review of the Clinical Research Glossary happens every June. Public Review is now open: June 12 – July 13, 2026

After definitions are developed by the Clinical Research Glossary team, Public Review ensures the definitions get an extra review by people who were not involved in the project. This helps us be more confident that the definitions are clear and easy to understand.

Help us spread the word about Public Review! Click here for the Media Kit.


Send us your feedback using the MRCT Center Public Review process.

  • The MRCT Center’s process uses a simple survey to collect feedback.
  • This process will not require reviewers to create an account, but we do ask for name, organization and email address. Collecting this information allows us to validate the entry and follow-up with each person to let them know how the comment was addressed.
  • You can send us feedback on already posted definitions all year round and suggest new words for us to consider whenever you want. Click here to contact us.

The CDISC Public Review process is also an option if you know how to use JIRA

  • CDISC’s Public Review process uses Wiki JIRA.
  • This works great if you already have a CDISC login and are familiar with the process. Individuals will need to create accounts to provide comments via JIRA.

CDISC has kindly provided video instructions here.


Baedorf Kassis S, White S, & Bierer B. (2022). Developing a consensus-driven, plain-language clinical research glossary for study participants and the clinical research communityJournal of Clinical and Translational Science, 1-20. doi:10.1017/cts.2022.12

Follow the MRCT Center on LinkedIn
Implementing the Clinical Research Glossary: How to Attribute the MRCT Center


Large Language Models in Informed Consent – Opportunities, Evidence, and Challenges

Publication

Published on: May 12, 2026

Published in: NEJM AI

Description: Barbara Bierer and Trevor Baker of the MRCT Center, with co-authors Rishabh Goel and Sammy Mustafa of Bond Health and Harvard Medical School’s Department of Biomedical Informatics, published “Large Language Models in Informed Consent — Opportunities, Evidence, and Challenges” in NEJM AI. Informed consent forms remain lengthy, cognitively demanding, and written at a level beyond most participants’ reading level, contributing to gaps in perceived understanding and recall of key study elements. This narrative review maps the emerging landscape of LLM applications for informed consent across seven domains: glossary generation, plain language rewriting, visual aid generation, accessibility and document formatting, translation, teach-back and comprehension assessment, and chatbot-assisted consent. For each domain, the authors synthesize the available evidence, surface principal failure modes such as hallucination, omission, and demographic bias, and outline mitigation strategies and considerations for integration with research ethics committee review.



https://ai.nejm.org/doi/full/10.1056/AIra2600073

Good Clinical Practice in Practice: Implementing ICH E6(R3)

Webinar

Date: May 22, 2026

On May 22, in recognition of Clinical Trials Week, MRCT Center Executive Director Sarah White convened the ICH E6(R3) Expert Working Group’s regulator and industry topic leads, Cheryl Grandinetti, U.S. FDA; David Nickerson, EMD Serono  and PhRMA ; and Rebecca Stanbrook, RESaltas GmbH and EFPIA , for “Good Clinical Practice in Practice: Implementing ICH E6(R3).” The panel walked through the guideline’s foundational concepts (Quality by Design, Quality Management, Critical to Quality Factors, and risk proportionality), grounded those concepts in a working case example using Risk-Based Quality Management principles, and discussed the practical challenges teams are encountering as they translate ICH E6(R3) into protocols, processes, and day-to-day oversight. The recording and slides are available here.

The webinar is part of the MRCT Center’s broader work as the training partner for the revised ICH E6(R3) Good Clinical Practice guideline. In collaboration with the ICH E6(R3) Expert Working Group, the MRCT Center has been developing a five-module course to help sponsors, investigators, and trial teams put the modernized guideline into practice. Module 1 (Introduction and Foundational Concepts) launched in October 2025, and Module 4 (Informed Consent) followed in January 2026. Module 3 (Data Governance) and Module 5 (Essential Records) are scheduled for release this summer, with Module 2 (Responsibilities and Oversight) to follow. The full course is available through the MRCT Center training library and the ICH Training Library.

YouTube: Clinical Research Competencies to Support Effective Patient Partner Engagement

Data Quality, Model Validation, and Governance for AI Digital Twins and Synthetic Data

Webinar

Presented on: May 18, 2026

This webinar, the fourth in the MRCT Center’s AI Digital Twins and Synthetic Data series, focused on data provenance and quality, model validation, and the emerging infrastructure needed to support the clinical and regulatory adoption of these technologies. Panelists explored how to evaluate whether the models used are credible, whether the data underlying them are reliable and traceable, and whether the outputs can be verified and validated for use in regulatory and clinical decision-making. They also discussed what it means for a model to be “fit for purpose,” how definitional differences among these technologies shape regulatory review, and how clinicians, sponsors, reviewers, and regulators may use, interpret, and deploy these tools.

Panelists: Daniele Bertolini, Principal Machine Learning Scientist, Unlearn.AI | Tina Morrison, VP, Scientific Strategy, EQTY Lab | Chao-Yi Wu, Assistant Professor of Neurology, Massachusetts General Hospital

Moderator: Barbara Bierer, Faculty Director, MRCT Center