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Special Interest Groups

INCF Special Interest Groups

Special Interest Groups (SIGs) are composed of users and developers from across the INCF network working collaboratively to develop, refine, and/or implement community standards. WGs represent short-term projects that aim to achieve a concrete deliverable. The SIGs also serve as forums for getting agreement and community buy-in on the use of these standards and best practices. All community members are welcome to be SIG members, regardless of their location in the world. INCF gives support with group communications, coordination between groups, and assistance with logistics and outreach.

How we work with community to develop standards

INCF encourages community members to find others with a compatible area of interest, and to join up in Special Interest Groups  to coordinate community around a research area, tool or resource.

In SIGs, users and developers can connect with community members in the same and nearby fields, and collaboratively work to develop, refine and implement community standards and best practices. 

The SIGs also serve as the focus for getting agreement and community buy-in on the use of these standards and best practices. In doing this, they will represent and further the INCF mission; to advance data reuse and reproducibility in brain research through the development of FAIR community standards and best practices as applied to tools and infrastructure.

All community members are welcome to be SIG members, regardless of their location in the world. The INCF Secretariat gives support with group communications, coordination between groups, and assistance with logistics and outreach.

INCF also offers funding for working groups (WGs), focused groups of researchers focused on developing or extending an existing standard. Working groups can be formed from within INCF SIGs or independently to accomplish a specific mission or task with designated deliverables, milestones, and timeframes based on the INCF standards and best practices development processes. Proposals to form a Working Group must be made to the CTSI by an INCF Node member; the Secretariat can help make the connection.

Active Special Interest Groups

Working Groups/Special Interest Groups

Special Interest Groups are composed of users and developers from across the INCF network working collaboratively to develop, refine, and/or implement community standards. Working Groups are composed of SIG members working on short-term funded projects that aim to achieve a concrete deliverable.

 

The aim of this working group is the harmonization of Common Data Elements (CDEs) for data discovery and metadata annotation.
This SIG aims to bring together experimentalists within the glial community with computational modellers, with objective to provide a forum to foster detailed interactions and advance astro-centric brain models.
This SIG will be a community dedicated to the creation and application of neuroinformatics technologies to address clinical and wellness challenges in aging
This SIG will coordinate common efforts for defining and describing cell types across neuroscience, to reduce duplicate efforts and to improve interoperability and reuse of cell type-specific data collected across groups.
This SIG aims to coordinate community efforts for the development of open, use case driven and shared validatable data models (schemas, vocabularies) to enable the FAIR principles (Findable, Accessible, Interoperable and Reusable) for basic, computational and clinical neuroscience (meta)data.
The SIG aim is to collect, compile, synthesize and distribute information from task forces working on separate projects but with reproducibility in neuroimaging as an overarching theme.
This SIG will coordinate interactions among researchers who are interested in reproducible research issues and open science. We will promote policies that support reproducibility, encourage better training in this area, and organize information about resources to make them more visible to the neuroscience community.
This SIG deals with the various tools and formats for creating and sharing representations of biological neuronal networks, and will work towards ensuring these are as interoperable and usable as possible for computational neuroscientists.
This SIG aims to develop standards and best practices for quality control of neuroimaging data, including standardized protocols, easy to use tools and comprehensive manuals