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Resources for data & knowledge sharing

Resources for data & knowledge sharing

The Secretariat maintains several established and well-used data and knowledge sharing resources to support your project, initiative, or society. We offer subscription packages tailored to your needs.

A web-based application for simplifying data sharing and metadata management for research. The data model behind Neurobot has a stackable backend and has been optimized for faster queries on large datasets. By separating data publishing and sharing tools from the data management platform, Neurobot provides the flexibility required for clinical and non-clinical studies. Contact info@incf.org to learn more about how Neurobot can be leveraged in your project.

Users

An open access hub of multimedia training resources covering the sub-specialisms of neuroscience. With over 700 courses, lectures, and tutorials and a global community of users, TrainingSpace is well-suited to serve as a dissemination channel for your courses and tool/infrastructure tutorials. To join the community of projects that have contracted the TrainingSpace to serve as the their training platforms, contact info@incf.org

Users

A question and answer forum with over 298,000 users worldwide is well-suited to serve as the community forum for your tool, infrastructure, project, or society. Contact info@incf.org to join the neurostars community.

Users

The purpose of this portfolio is to provide the community with an index of robust, well-validated standards and best practices that adhere and support the FAIR principles. The portfolio provides the community with descriptions of appropriate use cases, links to tools/infrastructures, and tutorials for each standard and best practice indexed. Find a standard or best practice for your research here

The purpose of this portfolio is to provide you with guidance in selecting the best infrastructure for your data type, analysis, and sharing needs. The portfolio is intended to help you find the best infrastructure for your particular neuroscience data and will offer more detailed neuroscience field-related metadata (modalities, file format, services offered, etc..) than available in general repository registries. Find FAIR infrastructure to support your research here