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Standards and best practices

Standards and Best Practices (SBPs)

The mission of the International Neuroinformatics Coordinating Facility (INCF), is to serve as a standard oragnization promoting neuroscience community developed standards and best practices that are open and FAIR. INCF encourages the development of the community starndards through special interest groups (SIGs) and working groups, supported by online as well as in-person courses and workhops.

We are further developing our aim to promote the neuroinformatics field and advance data reuse and reproducibility in brain research by implementing a process for endorsement of community standards and best practices (SBPs) for neuroscience. The endorsement process includes a community review and is overseen by a committee appointed by the Council for Training, Science, and Infrastructure (CTSI). Endorsed SBPs will be made available on incf.org and promoted to the community, to journals, and to funders through INCF’s training and outreach efforts.

SBPs

Find

Standards and best practices make neuroscience a data-centric discipline and are key for integrating diverse data and for developing a robust, effective and sustainable infrastructure to support open and reproducible neuroscience. 

Find a standard or best practice

Endorsement

INCF serves as a standards organization dedicated to open and FAIR neuroscience by vetting, endorsing, and promoting the use of community standards and best practices.

 

Submit a standard or best practice

Develop

In our Special Interest Groups and Working Groups, users and developers work collaboratively to develop  community standards and best practices and implement them in tools and resources.

 

Learn more

Recommend

The INCF network serves as a forum to collaboratively coordinate global neuroinformatics activities that guide and oversee the development of standards and best practices based on community needs.

Recommend an area in need of standardization

What is FAIR?

The FAIR principles are a set of community-developed guidelines to ensure that data or any digital object are Findable, Accessible, Interoperable and Reusable. The FAIR principles specifically emphasize enhancing the ability of machines to automatically find and use data or any digital object, and support its reuse by individuals. Standards for the description, interoperability, citation etc. are at the core of these principles.