We invite biopharmaceutical and device company employees, authors, investigators, medical writers, publication professionals, medical journal editors, and all others involved in reporting the results of industry-sponsored research to join us in raising awareness about the importance of transparency by taking the Transparency Pledge.
Medical Publishing Insights & Practices (MPIP) was founded by members of the pharmaceutical industry and the International Society for Medical Publication Professionals (ISMPP) to elevate trust, transparency, and integrity in reporting the results of industry-sponsored research. The major goal of MPIP is to encourage more effective partnerships between trial sponsors and medical journals to continue to raise standards in medical publications and expand access to research results.
Welcome to Transparency Matters—a new initiative of Medical Publishing Insights & Practices (MPIP) designed to raise awareness of the importance of transparency in reporting the results of industry-sponsored research and its impact on credibility. The goal is to broaden the conversation around transparency in medical publications, promote best practices, and engage interested parties in this important mission.
At its core, Transparency Matters is a global education platform and call to action to improve the transparency and credibility of industry-sponsored research publications. The MPIP co-sponsors have created a resource hub where authors, life-science companies, journal editors, and other interested parties can find research, tools, and recommendations to help improve the level of transparency when reporting the results of industry-sponsored research.
Transparency Matters is a global effort to
Journals Accepting Specialized Data
Many journals accept specialized data that are especially important when it comes to transparency. We've assembled a fairly comprehensive, searchable list that can be used to identify journals that align with your manuscript content for a variety of atypical scenarios.
Now you can identify the right journal for data that are