Pennsieve Open Repositories

How does Pennsieve support multiple repositories?



Pennsieve Open Repositories is a new feature and is currently tested with a small number of participating efforts. Not all functionality might be available to all users.

The Pennsieve Platform hosts several open repositories. You can propose a dataset to one of the repositories by following the Dataset Proposal workflow. The publishing team of the corresponding repository will evaluate the fit of your dataset for the repository and accept/reject your proposal. If your proposal is accepted, you'll receive an invite to upload, curate and submit your dataset for publication on the targeted repository.

For information on how to submit to one of the repositories described below, see: Submit a Dataset Proposal to a Repository


SPARC supports and integrates data, knowledge, tools and resources that focus on neuromodulation of the peripheral nervous system (PNS), including the spinal cord, with a special focus on its impacts on organ function, both for on- and off-target effects. SPARC provides a single entry point - the SPARC Portal - to these FAIR resources with the goal that the PNS community will leverage them to more rapidly identify neural targets and accelerate the development of therapeutic devices that modulate electrical activity in the vagus and other nerves. By facilitating research and its translation, SPARC believes our community can advance bioelectronic medicine toward more precise treatment of diseases and conditions, such as hypertension and gastrointestinal disorders.

SPARC is open to accepting datasets on PNS and its interactions with the CNS and end organs. Do you think you have an applicable dataset or model you’d like to contribute to the PNS community through the SPARC Portal? For a limited time, the NIH SPARC Common Fund will cover costs to accept datasets and models that fit the SPARC mission at no cost[1] to you, the investigator.

“Submit a Dataset” to SPARC to tell the SPARC Data and Resource Center (DRC), the people that build the SPARC Portal and its core resources, more about it! Our dataset submission form has just a few quick questions that can be automatically created into a start of your dataset once accepted.

SPARC.Science hosts public datasets for the NIH SPARC Program, the NIH HEAL RE_JOIN Program and the NIH HEAL PRECISION Program. SPARC also accepts datasets from other initiatives in HEAL and other NIH efforts if they fit within the scope of the SPARC repository.

Have questions about this process or other ways that SPARC can support your research, please contact us through this form or via email: [email protected]

[1]: Note: We are a non-profit and aim to provide our products free or for a minimal charge to the academic research community. We will never charge for access to our data and tools. However, in order to maintain and continue innovation of the SPARC Portal and associated products and services, we need those using SPARC to help defray some of our costs. Thank you for supporting our mission.

In order to maximize utility and reproducibility of biomedical research, it is important that scientists are able to make their research data publicly available. This is particularly relevant when research is sponsored by government funding agencies (i.e. National Institutes of Health) as these data are generally viewed as a public asset.

The Pennsieve platform allows users to publish their datasets for re-use by the scientific community. Each dataset will receive a globally recognized DOI which you can use in publications, and will automatically be indexed through Google Dataset, and other search engines.

The Pennsieve platform provides mechanisms to ensure that published datasets adhere to all FAIR Principles of Data Sharing through a number of quality checks and standardization mechanisms. This means that when datasets are published, the platform automatically includes information that allows other users to find these datasets and access the datasets in a standardized way.


(Available in early 2024)

Epilepsy.Science is an open repository targeting both Clinical and Pre-clinical Epilepsy datasets. will aim to develop the most comprehensive catalog of high quality multimodal Epilepsy Datasets. The Repository accepts datasets that are: 1) Multimodal, 2) Well annotated, and 3) Are expected to have a high impact in ML and AI driven applications for Epilepsy Research and clinical translation