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INCF community blog

The INCF community blog is where we collect news, success stories, information about the INCF Assembly, our workshops, and community activities. Community members are encouraged to submit relevant job openings, write guest posts, review and recap events, and suggest content that they would like to see featured on the blog.

Do you have a success story related to neuroinformatics, standardization, or FAIR and open neuroscience? Are you hiring for a job related to neuroinformatics? Did you attend one of our events and want to do a write-up? Let us know in this form!

 

  • Welcome to the INCF Assembly 2022!

    Our yearly community meeting, the INCF Assembly, is a unique venue where neuroscience researchers, tool developers, standards developers and infrastructure providers can meet with potential collaborators and hear about the latest advancements in neuroinformatics and FAIR neuroscience. 
    This year, the Assembly will be hosted on the Gather platform.

  • A community-sourced glossary of open scholarship terms

    Terminology is often a barrier to enter a new field. The open scholarship movement in particular has generated many new terms and acronyms. Now there is a community-sourced glossary for open scholarship terms, developed with the aim to facilitate education and improve communication between experts and newcomers. The first version, v1.0, lists 250 terms and was recently described in a Comment in Nature Human Behaviour. 

  • INCF endorses the MBF neuromorphological file format

    On January 25, the INCF Standards and Best Practices committee endorsed the MBF neuromorphological file format v 4.0, as a standard. It is commonly known as “Neurolucida XML” and is used for digital reconstruction & modeling structure for microscopic anatomies.

  • New Working Group: WG on MATNWB

    The goal of the MatNWB Working Group is to support the re-use of neurophysiology data via NWB by collecting MATLAB user requirements, outreaching to the wider MATLAB user community, coordinating among development teams (MatNWB, core NWB, MathWorks), identifying community project and collaboration opportunities, and other activities as may be determined.

  • Standards are needed to get the most out of brain research

    Developing standards requires both community coordination and consensus. Standards must also have governance structures to ensure sustainability, in addition to continued development  to stay relevant and useful. Successful standards development and adoption requires collaborative channels for the community to identify common problems and find potential solutions - the INCF Assembly is intended to build productive communities around neuroscience standards.

  • CONP, the Canadian Open Neuroscience Platform

    The Canadian Open Neuroscience Platform (CONP) was established in 2017, as a national network of Canadian neuroscience research centers committed to collaborating on a series of new open neuroscience initiatives, centered on sharing data and tools. CONP is a collaborator of INCF and has funding from Brain Canada and many other partner organizations.

  • INCF accepted as a mentoring organization in GSoC 2022

    We are happy to announce that INCF has been accepted as a mentoring organization in Google Summer of Code 2022, for the 12th year running!

    INCF has participated as a GSoC mentoring organization since 2011, identifying and recruiting mentors from our community who volunteer to mentor one or more GSoC contributors in open source software development over the summer.

  • Data Scientist or Scientific Software Engineer at the Max Planck Institute

    As part of an externally funded project with members of the Cogitate Consortium, Max Planck Institute for Empirical Aesthetics is seeking to hire a Data Scientist or Scientific Software Engineer, ideally one with a background in research data management (RDM), FAIR data, and database administration.

  • Short-Course: Longitudinal Data Tensor-Linear Modeling and Space-kime Analytics

    Short-Course: Longitudinal Data Tensor-Linear Modeling and Space-kime Analytics. This short course will cover the current state-of-the-art approaches for tensor-based linear modeling and space-kime analytics. Instructors will present a generalized framework for modeling and prediction of scalar, matrix, or tensor outcomes from observed tensor inputs.

  • Call for global collaboration on standardization of neuroscience data

    A recent perspective article in Neuroinformatics calls for increased international collaboration on standardization of neuroscience data.