Datajoint sciops: a managed service for neuroscience data workflows
Ended Project Grant Awarded Last action
- Award ID
- R44NS129492
- Recipient
-
Datajoint Inc. UEI HZ7FUNE27SA9
- Awarding agency
-
National Institute of Neurological Disorders and Stroke
National Institutes of Health, Department of Health and Human Services
- Obligated
- $2,384,688
Award facts
- Assistance listing
- 93.865 Child Health and Human Development Extramural Research
- Completion date
- Funding agency
- National Institute of Child Health and Human Development National Institutes of Health, Department of Health and Human Services
- Place of performance
- Texas, USA
Award details come from USAspending.gov.
Description
- Abstract
- This sbir proposal aims to address current challenges in data-driven neuroscience by implementing datajoint sciops: a commercial service to help research labs implement computational workows for data-intensive science experiments. This turn-key service will organize secure data pipelines and automate analysis jobs based on scalable cloud infrastructure while keeping the entire process transparent and reproducible. Progress in neuroscience relies on analyzing vast amounts of complex data recorded by new generations of neurotechnologies. To analyze this data, research teams develop advanced algorithms and share them as open-source software. These software toolchains require advanced computing infrastructure and operations, posing a set of engineering hurdles to manage the particular experiment workows for data entry, acquisition, analysis, sharing, and publishing. Datajoint sciops is made possible by the datajoint elements program (NIH grant U24 NS116470), which provides a collection of community-curated software modules for building standardized computational workows. These designs integrate best-in-class open-source analysis software from leading research teams and provide integrations with neuroscience infrastructure projects. Datajoint sciops will effectively serve as the commercial extension of datajoint elements by providing computing infrastructure, hosting, and a managed service with subject-matter expert support and customization services. This direct-to-phase II commercialization project will develop and validate a comprehensive managed service for executing data-centric neuroscience projects with robust automated processes for data management and analysis (aim 1). A cloud-based software-as-a-service platform will streamline the service to enable scaling to hundreds of labs through standardization, self-service, and process automation (aim 2). In the process, datajoint will partner with johns hopkins university's applied physics lab to integrate the platform with neuroinformatics resources and provide collaboration interfaces (aim 3). Jointly, the teams will ensure the transparency and reproducibility of the managed workows and integrate IT with other data infrastructure programs in the U.S. And internationally. With several thousand neuroscience research groups seeking to adopt advanced neurotechnology instruments and analysis tools, the commercially operated datajoint sciops service will lower the technological and organizational barriers for efcient and reproducible research. 1
Transactions
| Action | Obligated | Date |
|---|---|---|
| Amendment | $0 | |
| Amendment | $600,721 | |
| Amendment | $699,333 | |
| Amendment | $385,301 | |
| Original award | $699,333 |
Quick answers
Who received award R44NS129492?
R44NS129492 was awarded to Datajoint Inc. by National Institute of Neurological Disorders and Stroke (National Institutes of Health) on July 1, 2022.
How much is award R44NS129492 worth?
$2,384,688 has been obligated on R44NS129492.
Which agency awarded R44NS129492?
National Institute of Neurological Disorders and Stroke (National Institutes of Health) awarded R44NS129492, with funding from National Institute of Child Health and Human Development (National Institutes of Health).
On GovTribe
See this award's full record
- Every transaction and subaward
- The recipient's other awards and teaming partners
- Similar grant awards
- Ask GovTribe AI about this award