JMIR Data

A multidisciplinary journal to publish open datasets for analysis and re-analysis.

Editor-in-Chief:

Gunther Eysenbach, MD, MPH, FACMI, Founding Editor and Publisher; Adjunct Professor, School of Health Information Science, University of Victoria, Canada


JMIR Data publishes datasets in the fields of medicine and health. 

Datasets include all types of data for eHealth research, including patient-generated data from wearables (e.g., accelerometers, mobile apps), patient-reported outcomes, unstructured interview transcripts, internet-derived or app-derived datasets or log files. Datasets involving biospecimens, molecular or genomic data, patient or participant data from trials or experiments, and other medical, clinical, or health data are also included. All datasets must comply with applicable data privacy, management, and regulatory requirements. All data files must be appropriately anonymized and deidentified to protect the privacy of participants.

Datasets are typically previously unpublished. After publication in JMIR Data, these data can be retrieved, reused, and cited for transparency. Already published data will also be considered and related scholarly works produced based on the dataset should be described in a JMIR Data publication. 

Each submission consists of a structured manuscript and the dataset as Multimedia Appendix. Data files can be provided as excel files, SQL files, or other file formats. Include also any related documents required in the creation or curation of the dataset (e.g., institutional review board or research ethics board approval, informed consent forms when applicable, etc). JMIR Data submissions undergo peer review, with a focus on compliance with data privacy and ethical considerations. 

See Instructions for Authors more information on the requirements for JMIR Data submissions. Additional article types, such as Tutorial, Viewpoint, and rigorous literature reviews, which relate all aspects of the life cycle of data, including but not limited only to data ethics and privacy, methods such as deidentification of data, data retrieval, federated data, or synthetic data generation.

A JMIR Data publication can also be paired with a challenge or competition. Authors may propose publishing a dataset in JMIR Data and invite external researchers to address a specific problem or research question, leading to the publishing of dedicated challenge-related documents in JMIR Challenges. For more information, contact the JMIR Publications editorial team.

Recent Articles

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Conflicts of Interest Publication Disclosures: Descriptive Study

Multiple lines of previous research have documented that author conflicts of interest (COI) can compromise the integrity of the biomedical research enterprise. However, continuing research that would investigate why, how, and in what circumstances COI is most risky is stymied by the difficulty in accessing disclosure statements, which are not widely represented in available databases.

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Development of Depression Data Sets and a Language Model for Depression Detection: Mixed Methods Study

Depression detection in social media has gained attention in recent years with the help of natural language processing (NLP) techniques. Because of the low-resource standing of Filipino depression data, valid data sets need to be created to aid various machine learning techniques in depression detection classification tasks.

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A Database of Randomized Trials on the HIV Care Cascade (CASCADE Database): Descriptive Study

The Joint United Nations Programme on HIV/AIDS has set targets for 2025 regarding people living with HIV. For these targets to be met, 95% of people with HIV would need to know their HIV status, 95% of people with HIV would need to be receiving antiretroviral therapy, and 95% of people on antiretroviral therapy would need to be virally suppressed. Some countries are on track to meet these targets. However, within and across countries, several vulnerable populations may not meet these targets. This is in part because several approaches to improving the cascade of care after an HIV diagnosis are not tailored to and are not appropriate for vulnerable populations, such as men who have sex with men, sex workers, people who inject drugs, Black people, people in prisons, women, and youth. To inform research, policy, and practice, there is a need for curated data on HIV care cascade research.

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Tracking Exposure to Ads Amid the COVID-19 Pandemic: Development of a Public Google Ads Data Set

The COVID-19 pandemic has had a substantial impact on economies, governments, businesses, and most importantly, people’s health. To bring the spread of COVID-19 under control, strict lockdown measures have been implemented across the globe. These lockdown measures resulted in a spate of panic buying and increase in demand for hygiene products and other grocery items.

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A Comparison of Blood Pressure Data Obtained From Wearable, Ambulatory, and Home Blood Pressure Monitoring Devices: Prospective Validation Study

Blood pressure (BP) is an important marker for cardiovascular health. However, a person’s BP data cannot usually be obtained simultaneously from different sources.

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Preprints Open for Peer Review

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