JMIR Research Protocols is a unique journal indexed in PubMed, PubMed Central (PMC), MEDLINE, Sherpa Romeo, DOAJ, Scopus, Web of Science(WoS)/ESCI, and EBSCO, publishing peer-reviewed, openly accessible research ideas and grant proposals, and study and trial protocols (also referred to as Registered Report Stage 1 papers).

It should be stressed however that most authors do not publish their protocols for "impact" or citations, rather to document their ideas to how to design experiments, to document their successful grant proposals, or to publish (and maybe brag a little about) their already funded protocols (which do not require additional peer-review). We offer this platform for scientists to publish peer-reviewed protocols for a very low APF, and unfunded protocols for a reasonable fee that includes peer-review.

While the original focus was on eHealth studies, JRP now publishes protocols and grant proposals in all areas of medicine, and their peer-review reports, if available (preliminary results from pilot studies, early results, and formative research should now be published in JMIR Formative Research).

JRP is fully open access, with full-text articles deposited in PubMed Central.

Why should I publish my protocol?

JRP publishes research protocols, grant proposals, pilot/feasibility studies and early reports of ongoing and planned work that encourages collaboration and early feedback, and reduces duplication of effort.
JRP will be a valuable educational resource for researchers who want to learn about current research methodologies and how to write a winning grant proposal.
JRP creates an early scientific record for researchers who have developed novel methodologies, software, innovations or elaborate protocols.
JRP provides a "dry-run" for peer-review of the final results paper, and allows feedback/critique of the methods, often while they still can be fixed.
JRP enhances rigor and demonstrates to reviewers of subsequent results papers that authors followed and adhered to carefully developed and described a-priori methods, rather than fishing for P-values (HARKing).
JRP facilitates and guarantees subsequent publication of results demonstrating that the methodology has already been reviewed, and reduces the effort of writing up the results, as the protocol can be easily referenced.
JRP is compatible with the concept of "Registered Reports" and since May 2018, published protocols receive an International Registered Report Identifier (What is a Registered Report Identifier?) and acceptance of the subsequent results paper is "in principle" guaranteed in any JMIR journal and partner journals - see What is a Registered Report?. We assign an IRRID (International Registered Report Identifier) to each published protocol, faciliating the linking between protocol and final study, and also indicating that results papers of studies are also "in principle accepted" for subsequent publication in other JMIR journals (or other members of the IRRID Registry Network) as long as authors adhere to their original protocol - regardless of study results (even if they are negative), reducing publication bias in medicine.
Authors publishing their protocols in JRP will receive a 20% discount on the article processing fee if they publish their results in another journal of the JMIR journal family (for example, JMIR for e-health studies, i-JMR for others).

Need more reasons? Read the Knowledge Base article on "Why should I publish my protocol/grant proposal"!

The journal is indexed in PubMed, PubMed Central (PMC), MEDLINE, Sherpa Romeo, DOAJ, Scopus, Web of Science(WoS)/ESCI, and EBSCO.

JMIR Research Protocols received a 2025 Impact Factor of 1.6, ranking Q3 in Public, Environmental & Occupational Health and Health Care Sciences & Services.

JMIR Research Protocols received a Scopus CiteScore of 2.8 (2025), placing it in the 68th percentile (210/669) as a second quartile (Q2) journal in the field of General Medicine.

This paper is in the following e-collection/theme issue:

AI for Causality Assessment in Pharmacovigilance: Protocol for a Scoping Review

AI for Causality Assessment in Pharmacovigilance: Protocol for a Scoping Review